I'm apparently from the very small faction of users who's been running `--dangerously-skip-permissions` in every instance of Claude for the last year. It's almost a reflex to me. For the most part Claude behaves well, but I don't blindly trust it. LLMs are inherently dangerous tools, and reviewing individual commands (or spamming `y`) doesn't make them less so. Safety is the responsibility of the developer putting sane guardrails (like VCS, immutable filesystems, or read-only tokens). Using more Claude to categorize the safety of Claude commands is not the answer.
I used to use dangerously-skip-permissions until auto appeared and I gave it a try and honestly I don't know there's much of a difference? If auto had existed in the past I would never have needed to try dangerously-skip-permissions.
I manually approve everything (aside from the "allow commands like this" option). Not because I'm worried it's about to do something harmful but because I want to stop it from wasting tokens doing something stupid like implementing a feature I never asked ask for. I'm not even reading the commands, just checking it's going in vaguely the right direction.
I think my ideal setup would not involve approving commands, but approving summaries of proposed actions (whether they involve code exec or file edits). Kinda like plan mode but perpetual. Like most things, trying to solve it via CLAUDE.md is an exercise in futility.
You can get some approximation of that with more detailed plans. I use a prompt like "Let's make a detailed plan. Write plan files as markdown to plans/feature-XYZ. [regular prompt]". That way you get much more thorough plans than with plan mode, and you can make it as detailed and deep as you want.
It can't account for things that only come up during implementation. But you can explore much more of the design space in planning to reduce the opportunities for Claude to wander down the wrong path during implementation
I've tried this, and it is largely what I do, but it's easy to end up with a large tangled pile of markdown files, and the implementation either diverges from what's in markdown or you burn a lot of tokens keeping them in-sync.
The plans usually end up very long and verbose, and in my most vibe-y test project I stopped even reading them myself and instead just ask questions interactively. e.g. "what are the remaining unanswered design decisions", "which part is jankiest". It does work quite well although I don't know how I feel about it.
P.S. to any anthropic staff: The "chat about this" option in Plan mode is useful but also annoying. When I select it I want to take the next turn of the conversation myself, I don't want it to waste time "thinking" just for it to verbosely ask me what I want to chat about.
I run in manual mode not out of rogue agent or token waste concern but because I want to effectively pair program with the agent. I need to understand what is happening along with the how and why. I’m confident I’m slower than YOLO people but that’s a trade off I’m consciously making so I can stay in the loop to comprehend the codebase.
Your summary approval idea is interesting and feels maybe like a mini plan mode. My biggest frustration with the existing manual approval system is when Claude is exploring it gets tedious to approve each command. Being able to approve a block of commands or a mini plan AND have auto mode audit them for safety would probably be something I would consider for the expiration phase of my Claude use.
I do it, but in a devcontainer...but the devcontainer is as much to keep my host free of the random tools that a given project needs as it is (now) to keep Claude in line. If I had to click approve on everything it'd be worse than doing everything myself.
I'm also in yolo mode, this is the only mode that makes sense for me, if I need to babysit I might as well do it myself.
I run it in a VM so it can install any software needed, yes, there is a risk of escaping, but I'm not giving it impossible tasks so there is no need for it to workaround the jail.
For running it in yolo mode I set it up in a devcontainer. It takes a bit of figuring out, but once set up the permission prompts go away and claude has no access to anything I haven’t explicitly added to the devcontainer (unless it hacks its way out).
Every driver thinks of themselves they are an excellent ones. Statistics has another data :)
If LLM agent wants to get out of dedicated folder where it’s supposed to work and tries to run a command, ppl should be always cautious. In fact, it is a sort of # access on live data.
Sudo/# is nice as you don’t have to ask for permissions, but I would recommend to do it only when you are fresh, fed, and not under stress.
I remember few times that I “accidentally” deleted or changed stuff I wanted to have intact… (Somebody would say that it is a skill issue :) But it was always when I was in hurry.
I'm assuming this happens to the people vibe coding and running 30+ agents in parallel that are "coordinating" each other. I've never seen Claude do or even suggest anything remotely dangerous when I'm just giving it incremental tasks and reviewing the output.
I don't use yolo mode but if you allow your agents to both write code and run/test it, then it's basically equivalent to running in yolo mode anyway.
The other day I caught Claude including a rm -rf equivalent (fs.rmdir({ recursive: true, force: true })) in my code, to clean up temporary directories. It was fine, but that kind of code is only one misconfigured environment variable away from blasting away your $HOME.
I've set up a second user on my machine just for running AI. That way I have the additional layer of OS protections against it doing something like that.
Whatever level of safety you are at, it's always easy to advocate for more. It's always a trade-off and in the end a matter of preference and risk-tolerance.
I run in auto permission mode and it will run with 1 task and end to completion. On the rare event it needs to rmdir or rm -r a dir, the permission mode will stop the agent. Sometimes annoyingly... so its more like. "I've never had a bullet hit me yet inside a office building on the 42nd floor".
> Isn't that what the people crying over their deleted or leaked data were doing too?
Probably using not-SOTA models, or on the lower reasoning levels, they tend to be a bit more tally-ho when it comes to destructive operations, especially in longer tasks as the agent gets worse and worse as the context grows. Suddenly running some stupid command seems like the right way to go, and then $HOME is gone.
VMs and containers are primarily useful to reduce maintenance burden anyway. I.e. if it fails or you're otherwise done with it, you can torch the container instead of having to clean up your host system from zillion no longer relevant packages and configs.
I'm using a container. The risk isn't exactly "agent leverages 0-day against you to steal all your data" but more "agent mistakenly though $HOME was theirs and deleted it" so as long as you "copy data in > copy data out" without bind-mounting or automatically sync files, container works just fine for "isolating" them.
I've tried both incus and firecracker. Both seem to work well after initial script setup. I've got the impression that firecracker should be a fairly safe option for such use cases.
I think all of Anthropic's own staff use --dangerously else they'd work on the usability of the massively imperfect 1-approve-once and 2-approve-forever multi-choice and outcome.
> It's the easy option, with a better safety score than human review.
Considering I went through a phase before I started using Claude Code where I'd eventually reach a point where I'd mindlessly approve ridiculously long command chains, I believe this.
As the article writes: "many users are clicking through reflexively rather than reviewing each command".
It's far better (for my working style, anyway) to have some external isolation/sandboxing, but leave the actual command approval to LLM.
I do the same and truly think others are just control freaks that enjoy restricting agents (human or AI) from being productive and also enjoy keeping their worthless selves in the loop for a false sense continued relevancy.
My .bashrc has `alias claude='claude --dangerously-skip-permissions'`
Been using it like that everyday for about a year now and nothing bad has happened. I got backups and if it would fuck things up, it can probably fix it again as well.
This is the same reasoning for not wearing seat belts or a helmet on a motorcycle. Nothing bad has happened yet so obviously there is no need for any protection.
I've been raw dogging Claude Code for the better part of last year as well, but I'm under no illusion that it's safe to do so, I just cannot approve seven trillion approval prompts and stay sane. I've since. switched to auto mode, however.
I too skip all permissions, but I run the harnesses inside an isolated virtual machine. I took care to firejail Claude Code on my host since day one, and coding my own QEMU VM orchestration solution was among the first things I used it for.
Alarm fatigue will quickly destroy any and all "meticulously approve every little command the AI wants to run" workflows. Give it a virtual machine and let it cook. If it blows up the virtual machine while it works, it doesn't matter.
I haven't (and won't) gone that far, but what's been working for me is denying all arbitrary code execution, grep, glob etc, and then allowing the JetBrains MCP. At least that way it's essentially locked down to the IDE project.
Then you can treat most asks as a signal something has gone wrong. For the most part it seems to work well within that box.
i've never seen the point of manually approving myself but it depends on the scope of work you ask of it. it wont suddenly rm -rf / if that has nothing to do with anything in the project. if you let it manage env or user cfg stuff in ~/. or so that might get hairy etc.
ofc, jails on bsd, containers , vms git backups and such techniques are a blessing, most risk is in the filesystem items being deleted . it wont suddenly hallucinate a kernel exploit or something extreme.
I use dontAsk mode[0] with read access to the entire file system, write access to files from the working directory[1], some git commands (git commit yes, git push no), and a script wrapping Deno with the same read/write permissions (safer substitute for `python -c`).
These are usually enough for most of my coding tasks. In my experience, Claude has been good enough that it can write code and fix bugs without needing anything else. It's far better than ever needing to approve permission requests.
This is the only kind of agent security that makes sense to me. Constrain it like you would any other subprocess. Unprivileged OS users, SELinux, firewalls, VMs... Unikernels? eBPF?
I do the same. I also use crush/deepseek a lot. I patched crush to remove all safetyguards and enable yolo mode by default. I use it on a daily basis including devops. For example to configure netapp storage systems and had not a single incident. Of course I also have backups of my systems and have everything under revision control. Depending on the task I let it run on a throw away VM, production system, lab system. Depending on the task I give it access to throwaway credentials (that I rotate afterwards) or my ssh agent socket.
My issue is that the auto mode guard rail model, is sometimes overwhelmed and really slow, so I also mostly just default to --dangerously-skip-permissions.
I wish the command would be easier to write like --dsp
For personal stuff I have a separate physical machine on the network that Claude runs on in yolo mode and the worst it can do over there is wipe the machine. It doesn't have privileged access to anything else unless it starts trying to hack my network, which I suppose is theoretically possible with prompt injection attacks.
For work stuff in the work environment I don't risk it.
> I wish the command would be easier to write like --dsp
It amazes me they didn't make the short version --yolo ... but I would imagine the merit of the long name is that you can't claim you weren't warned!
tl;dr: if I run claude/harness inside "code" at "~/<some path>/work/code", it would be great if the harness can't even see "code" is inside "work" (and even I can't make it know that by some quick "Yes(y)")
I want something like: claude/opencode/pi/etc has no existence or capacity outside a file access boundary, say a given folder that (e.g.) lies here "~/<some path>/code". Even if I want, I can't run claude outside it, because it isn't installed outside it. Even if Claude wants it can't read/write/execute/install anything outside it.
Basically I want the harness(es) and my code folder(s) sandboxed [0] inside just one folder and below it in folder hierarchy at least for file access limitations.
Will this pose the challenge of using the system wide cli tools like ls, cd, git et cetera? If it gets a handle on those tools outside that sandboxed folder then pretty much can it execute it in any other folder? So should those tools also be part of that container?
I guess something like docker does that, but do I necessarily need a docker like app/tool? It will use a lot of system resources on its own. A different mac login won't be great either.
I do not want to use claude's /sandbox (or something like this), that will defeat the purpose. Because it's not about "it won't", but because "it can't".
https://github.com/apple/containerization doesn't sound like what I am looking for. So is docker, lima etc are my only options? Not to mention I will lose access to a lot of cli tools I use on mac.
I use bubblewrap, which I believe claude code also has internally but not for its `Bash()` tool.
I wrap bubblewrap in a script that supports config files to allow different "profiles" of use (analogous to eg firefox profiles). The bwrap starts with the whole filesystem mounted read-only, then mounts the current directory read-write and then applies further bind mounts for devices, special case other read-write (eg, ~/.cache/) and to mount empties to cover sensitive directories (eg, ~/.ssh/). The profile also specifies the default command to run and for claude, it gets yolo mode.
You can just use hooks to physically (so to speak) prevent it from running the most sensitive commands. I find that peace of mind enough for me. E.G. no deletes, no deploying to <env>, etc etc
Everything else you can sort of review what it did after the fact and/or tolerate mistakes, but knowing some thing’s are impossible for it to do us good peace of mind
Otherwise not sure who’d be willing to tediously on every single action on anything but the most important of projects, of which I can’t really think of any of that clear that bar for me
Yeah, if you don't care if your ssh keys or data are potentially posted all over the internet, more power to you...
Not to mention cases like some comment here:
"I've caught Fable discovering the ip to a production server in documentation and attempting to connect there on its own to run commands without explicitly being prompted to. It didn't work because I was watching it live and and also the key was password protected, but yeah, I do see some danger."
The agent decides what it "needs" to read - not the intention behind the prompt you gave it.
A failed SSH connection to a staging server for example, can trivially make it look into .ssh to try to diagnose it. And many other ways, including prompt injection.
I don't see how. An LLM just generates a stream of output and they became very useful doing no more than that.
What is dangerous is then interpreting that output as instructions to some other part of a system that has the ability to do damage if misused.
and reviewing individual commands (or spamming `y`) doesn't make them less so.
Surely if you review each instruction in the output and do not allow the other part of the system to act on one if it would be harmful then this arrangement is very much less dangerous?
I've caught Fable discovering the ip to a production server in documentation and attempting to connect there on its own to run commands without explicitly being prompted to. It didn't work because I was watching it live and and also the key was password protected, but yeah, I do see some danger.
My point is that an LLM can't attempt to connect to anything by itself. All an LLM does is produce a stream of output tokens - and that was already quite useful as a coding aid.
It is the harnesses that some people are now wrapping around LLMs to interpret the output from a model as commands to run (or other executable instructions) that are creating all these new risks. Remember that this is still a very recent development and still more recently amplified by the use of feedback loops and long-running agents intended to operate with minimal human supervision.
It is going to be increasingly important to understand exactly what these tools are doing and why for both correctness and security reasons. Not conflating their capabilities with the underlying model that purely generates data is pretty fundamental here.
Not only fable. Opus does this too. Which is exactly why I want to review. Like recently for some task it was convinced in a site dump images are not there and convinced itself db and files were skewed. But it didn’t check the actual site … if I hadn’t stopped it, it would have fine on and on or wasted tokens on some elaborate ‘fix’.
Besides the debate about whether this is "safer" than manual human review, I have a slightly different problem.
Very often, when I'm running Claude in manual review mode, it will attempt to do things which are not "dangerous" but are misaligned with what I want it to do. Maybe I'm fighting the model here but for example, when orchestrating other agents to do work, Claude really badly wants to be overly prescriptive about how the work gets done, telling them exactly which files to edit, exactly what not to do, etc. instead of trusting the guardrails, review agents, or humans in the process to catch code-level mistakes. And no, telling it not to do this does not stick. Manual review is the last line of defense I have here.
I have stuff I don't want blacklisted, only allow it to use tools with limited ability to boss around agents, and various hooks to try and catch behavior that the permissioning system can't. If I use Auto mode though, I lose this control. The classifier will gleefully approve these types of commands because guess what, it's also Claude.
> Maybe I'm fighting the model here
> And no, telling it not to do this does not stick.
You're fighting the model, don't argue with city hall. Set the standards and let it figure out how to execute, stop getting bogged down in the minutia. I try, as much as I can, to treat the session as a black box - only the inputs and outputs matter, internal prompting of subagents is way out of scope.
You can't change it via prompt, and you can't control the guardrails, so something else has to give - either your perspective or the system you're managing. If you really believe that the internal prompting is bad, turn off subagents and workflows and only let it execute in thread.
But if you're going to do that, you'd better benchmark it against not doing that, because historically fighting the harness and model globally makes everything worse. I would bet you that the subagent prompting is excellent, and anything you do to change it will make it worse, but I wouldn't make it a large bet.
If I ask a model to do a change involving editing a file, and it starts investigating internals of my build system, then sure it might not be counterproductive or break the task, and might have taken only extra 30 seconds; but for all I know, my quick rejection of a shell invocation (with a simple "irrelevant to the task" comment) might have just saved me half of today's Opus tokens, which already makes it worth it.
"We spent the last several months testing whether auto mode is as safe or safer than an average user clicking through prompts."
Yeah, might make sense from their perspective, but no thank you. I also do click through at times without reading everything, but I like to stay in control, learn about the new code and change direction if it goes off track. This would just burn more tokens because I have to throw away much and I hope my manual approval settings will be respected also with future updates (or I jump ship).
The default is set for the marginal new user, which at this point is probably not someone like you (who benefits a lot from manual mode) -- it's someone who's more "code-naive" and might get anxious about approving random bash script commands they don't recognize. Safely getting the user from prompt --> first vibe-coded app is the "user journey" now, and since auto mode seems pretty good at not letting Claude rm -rf'ing the home directory, this is 100% the right business move. For people who know what they're doing (like you), manual mode is just a shift-tab away
I recall hearing similar sentiments from linux sysadmins regarding cloud infrastructure. In many respects they were and continue to be correct. In other respects, the world doesn’t care about the loss in understanding as long as things work “well enough” for the cogs of society to keep turning.
For those who do care (and have the aptitude) to understand things deeper there is always work to be had when “well enough” stops being good enough and someone has to unravel the “RDS queries are taking too long” problems that crop up as a result.
These progressively higher levels of abstraction are how everything has moved and will move in science and human technology. There aren't enough hours in the day nor years in the human lifespan to gain a deep understanding of every single level below us. Rather we build on the abstracted API layer beneath us, and those who come after will build on top of us using a simplified abstraction to hide the tangled mess we had to make.
What an awful position to take. Tech used to be about becoming more accessible to people! Now we have a magical assistant to make computers do what you want with natural language, and your desire is gate keeping that so only programmers can use it to write software for themselves?
I am using many many many things that I don't understand. Cars, public transport, etc...
I review and test the end product, not every tiny step along the way. If the LLM uses some command line tools I have never heard of to create a model I can verify, why should I learn a tool that is completely irrelevant to my core expertise?
Many many people care more than the end product, for example whether a shirt is made of cotton with the forced labor, carbon emissions of public transport, etc.
In terms of engineering software, you care the cost. An intelligent agent may try to read unnecessary files and it's time to stop it to save tokens and avoid polluting the context.
I can be against animal testing without being a chemist or having a full understanding of the experiments being made on them. Knowing it's cruelty is enough to make opposition a valid and defensible position.
I doubt that it is more efficient for someone to routinely watch every line of output or stop to review terminal commands, rather than waiting for the turn to complete.
It is a broader debate about agentic AI, and whether one should relinquish control to the tool rather than aim for full understanding of every action taken.
The people arguing for a hands-on, fully in control approach are losing ground by the week, in my opinion.
He didn't advocate for being completely blind in every way. You might care about working conditions without understanding how the textiles, dyes or cotton production works.
These non-programmers probably shouldnt use computers at all, right, since they don't understand them?
I don't think the marginal new user is anxious about approving messages - I think they're quickly annoyed by permissions prompt they don't understand and quickly get in the habit of approving everything or figuring out how to set bypass permissions on
I am actually curious, how much non programmers use claude now. I know just one and she really does not know much about computers, I suppose their numbers will grow (but I doubt most get much value out of it).
I mean if you don't care code, you are essentially a product manager who gives instructions to your programmers (whether humans or intelligent agents).
Then if you use the created product, you are at best a test engineer if not just an ordinary user.
I think in the era of AI, people get tools they want in an expensive way. Rather than finding an existing tool, they ask an intelligent agent to parrot one, which guarantees no safety, security, efficiency, and accuracy. Yet, being able to use Claude makes them feel smart and productive (in parroting wheels).
At this stage with the latest models with "increased persistence" and the sheer amount of supply chain attacks, you'd be insane not running these tools in a sandbox.
Might be more secure to get a real laptop and treat Claude as any other human worker. I.e. apply all the normal sysadmin tools that manage laptops for people to manage the laptop for Claude
They're not. When things go wrong it's better to compromise someone else's VM host than your own computer. It's only a matter of time now until AI will find novel ways to break out of virtualisation.
In the short term wouldnt a “dont escape” prompt prevent this? Also if it started being widespread wouldnt Anthropic specifically train new models against doing it?
Having used a bit of a mix of Claude Desktop and Claude Code lately, I discovered that Claude Desktop just times out when it asks you for a decision, and just goes ahead with the action anyway. There is no way to turn this off that I've found, unlike Claude Code where you can ask it to never time out.
> I also do click through at times without reading everything, but I like to stay in control
Respectfully I'm not sure you totally know what you want. If you're already clicking through without actually reading, it's not really better than reading the specific things Claude Code thinks are important for you to weigh in on.
"without actually reading" and "without reading everything" is big difference.
I skim what claude wants to do. What file it wants to modify. What are the new function names. Skimming is enough for me to know whether it is still on the right path. If you like to work different, go ahead.
I have to, at times keep reminding it if it did code review before committing, which it fails to do at times. Also, even a glance at times has revealed issues that I’ve had to discuss and undo etc.
But yes, it gets very tiring just having to click yes yes yes..
Worth mentioning as I think at least a few of the commenters are mixing them up: auto mode is different from --dangerously-skip-permissions / YOLO mode. In auto mode, there's a classifier that runs before any command is executed and theoretically blocks any dangerous commands from running. I've found it to be quite annoying and overly zealous, but probably pretty effective.
Claude seems to waste a lot of tokens internally bickering with itself. As much as organizations are optimizing spend, Claude's product guidance seems to be doing everything to fight against that headwind. When operating in a capped cost environment, engineers will simply get less use out of it.
> The auto mode classifier uses a small number of extra tokens per tool call, and we're no longer charging Claude Code users on Pro, Max, and Team plans for that classifier overhead, effective today
Seems to work so far. I've manually checked various things, rw access, access to sensitive folders/files etc.
So far, I've only used it on two small projects. My major projects I've been clicking through prompts and recently switched to "auto" mode.
I'm not quite sure why anyone would trust "--dangerously-skip-permissions". I've seen these agents go off-piste far too many times, installing unnecessary packages, environments, calling sudo & creating files in all sorts of places.
There's a page on various sandboxing strategies on their site:
I've seen various comments in several topics with folk baking their own sandboxes. That's great. Although I'd be inclined to try Anthropic's solutions initially.
It goes off the rails too quick too often right now for this. Sure, you got something easy in 5 files? You are building throwaway prototypes or proof of concept? Go for it. You have a real project you expect to maintain and work with others on? Well, say goodby to any actual architectural design. It is hard keeping these things building scalable maintainable code right now. It is like letting a junior dev come up with architecture. It may sort of work, but watch as any maintenance/updates happen. You get a different implementation of security for every endpoint in your app, 15 copies of code with no reuse, dead code laying everywhere and no real idea of how to untangle it. It is hard to keep this stuff under control when you are paying attn. Turning auto on makes that even harder.
True its is like a junior dev with brain damage and insane ego (especially Fable who thinks its a rockstar programmer for some reason), but you have to use plans, anything else turns into a turd way to quickly. Write a summary of what you want to happen, have it plan it (this is where the architecture decision gets made) then iterate on that plan until its detailed enough and the design is sound. Let it work in auto mode on the plan then review the changes. This only really works if you have a good mental model of the codebase.
Its still a lot of work, just less than having to code literally everything yourself. I agree though it feels to me 99% of discussions on LLMs is either marketing bullshit or junior devs talking out of their asses about LLM coding, who anyway feel that
> "different implementation of security for every endpoint in your app"
is perfectly reasonable. It also seems as if people haven't sandboxed claude already (WTF), that says a lot too about the competence of people speaking here.
Before auto mode came out, I had a script that ran before every permission request, it called Haiku with a prompt with a list of safe and unsafe command examples and asked it to classify as safe/unsafe and log it so I can review it later. It worked really well for me until auto mode came out, at which point I preferred the provider's built-in classifier versus maintaining my own.
I've been using auto mode ever since the feature was released. Apart from a very few occassions where the classifier blocked a safe command, I have faced no issues and continue using it as my default mode. It's great!
I've been running Claude Code with --dangerously-skip-permissions in a Docker container for the last month or so, allowing me to get up and stretch my legs while it does its thing. I definitely wouldn't want to run it unsandboxed.
Sandboxing seems like the obvious solution. These tools prompt me to review an absurd number of very complex bash commands where there is realistically no way to carefully review them. I just want to put the thing in a box with the code and let it run any number of commands on the code without prompting.
This is still less safe and less convenient than sandboxing. I want them to be able to run whatever command they want inside the sandbox even if it's traditionally dangerous (overwrites files, etc) because it can't touch anything that matters and I can revert any changes to the code myself.
If anything the only thing you'd have to have reviewed is sandbox escape attempts.
You are right. And the hook is for convenience, not for safety.
Having explicit sandboxes is good, of course. But in addition I also treat my whole computer like a sandbox, it least in the sense that there's no files I would mind if they were overwritten or deleted: you should have backups anyway.
If you're using yolo mode, this is a no brainer upgrade.
The model first classifies the safety of the command in isolation, no thinking involved. Sonnet 5. Goes to second stage only if it's likely unsafe, in which case the model next considers your intent (Your prompt, CLAUDE.md and any answers to the questions).
The model doesn't receive the full transcript to reduce surface area of the prompt injection. It mostly receives your prompts and main model's tool use blocks. So any text in files, website fetch or bash command output doesn't influence the decision in anyway.
However, CC puts a lot of trust in main model still. For example, `npm install` will always be classified as safe by the auto-classifier, it's upto the main model to ensure that the packages.json isn't poisoned in someway by first reading it.
Reliance on safety of the main model is the reason that Auto mode is NOT available with Haiku as the main model.
I've recently been running yolo mode, but in docker container with the codebase I'm working on a as regular mount with other reference code mounted as read only.
I've been experimenting with dedicated Linux users for various external tools with access to the relevant credentials limited to them and the Claude user only able to invoke the relevant clis by going through a pair of wrapper scripts: the first to change user to call the second via a su call as the appropriate user, the second wrapper to invoke a guard script which allows me to implement my own in-code permissions checks against the cli arguments. In _theory_ there's no way for Claude to work around it, as the sudoers file only permits the described manner to change to the user with credentials, and the user with permissions for each credential only ever runs deterministic code.
It's too early days to say how well this second part works out, but so far so good.
>We hired 1,053 paid testers through a research vendor for a coding study.
>The testers caught the dangerous command just 13.6% of the time (143 of 1,053), while auto mode blocked 89% of the same commands (937 of 1,053). Head to head, auto mode blocked 800 commands that a human approved, while humans blocked only 6 that auto mode allowed. As sessions got longer, humans did worse: they blocked about 17% of dangerous commands early in a session, dropping to about 5% after 50 or more prior prompts, while auto mode's block rate stayed flat regardless of session length.
Any note on the proficiency, expeirence, and skill levels of the testers? 'cos the diff in numbers is absurdly high.
I think literally anyone would stop reading these randomly long long bash commands at all after prompting Claude to do some basic sysadmin task and getting 15 of them in a row.
These models generate the most unreadable bash commands I've ever seen. Utilising every single option available and piping the result through multiple layers of regex and junk.
The mental load of having to actually review these commands beyond the most surface level glance is too much.
Claude code actually has a hook to let you install a script to review these bash commands for you. You can get pretty with a few simple and conservative rules, as long as you teach it how to take apart piped commands into their parts (to judge them).
Auto mode feels like a solution to a problem they created. Whitelisting commands used to work fairly well until the agents started generating complex bash commands that it gave up trying to classify.
"Oh you're piping grep into sed, I have no idea what the implications of that are!"
The more complex bash scripts are perhaps better or more efficient, but it feels like it's training us to give up more control to the agent.
I'd prefer to have an auto mode for read-only operations and go back to simpler commands for write operations that I can personally whitelist or manually accept.
sed can be used to edit files (with the -i option). Not sure how this interacts with piping to its STDIN, but I wouldn't automatically assume `grep | sed` is safe.
I was thinking about this the other day, standard UNIX utilities seem poorly suited for this because they have so many weird options/flags with "unsafe" side effects. I have no idea if grep, for example, has some niche option to make it write/edit/delete files, so I wouldn't be comfortable blanket whitelisting it.
I made a tool to bubblewrap any agent (well, any agent I've used more than once), so I can run them in whatever YOLO mode they have with a pretty reasonable level of safety (it protects the rest of the system against prompt injections and supply chain attacks, it can't and doesn't try to protect the project being worked on from either). https://github.com/swelljoe/flar
6 months ago: get Claude to do some work, have GPT review it, ask Claude to first verify findings before actioning.
Now: get GPT to do some work, have Claude review it, question Claude about a finding that is surprising to me because I thought the functionality was already in place.
[Claude/Opus 5 Max goes looking] "You're right — I was wrong about that."
Our Claude license ends in about 2 weeks and we're not renewing - this has been par for the course for the last 2 months now.
And their marketing is really starting to bother me, on top of that.
That always seems to happen upon release of a new model. People look at the benchmarks, which look good, because the model was almost certainly optimised for that. Then they start actually using it, and after a week or two we get the real assessment that is almost always less impressive than the initial reactions.
Interesting, I generally use High for all models, even non Anthropic ones.
This was one of the few times I tried Max, and the problem was the code (it listed as a "hole") was directly adjacent to the problem area, and not especially complex.
Kind of like looking at a washing machine and telling the customer to be careful because the inlet pipe will pump water into an empty box.
I believe the reasoning for not using anything higher than medium is that Opus 5 has a tendency to overthink at higher effort levels.
So I guess the washing machine analogy is that you've somehow added too much detergent because the new formula is 3x as strong, and your clothes are very clean, but the fibres have also degraded leaving your clothes a bit threadbare.
It's great that they're making the auto usage tokens free by default and I guess auto mode will be a good default for a lot of workloads, but recent changes to the auto mode classifier just moved me to either use YOLO mode or use a different harness.
I've been using Opus 4.6 for some security related work (it has much looser guardails that later opus models) and last week, all of a sudden, the processes started to fail. It wasn't the main model blocking commands but the auto mode classifier changed how it worked and it started blocking the main models commands.
That's one specific incident, but it does have a wider potential problem which is, if you use Anthropic's harness you'll always be at the risk of sudden breakage from server-side changes that are opaque to the end user, which is a tricky one for building long lasting processes.
I had the same issue with Codex, where one day it just became unusable.
Weirdly, this would occur with very common commands like git push, where the classifier would start to yap about not being able to verify the repository's privacy settings.
My bug reports went ignored, the issue continued, and I eventually just switched to Full access.
I have not yet encountered an issue with Claude's Auto mode.
What works in that case is adding a message saying "I authorise you to do $thing", which the classifier treats as explicit consent to do something and execute commands toward that goal.
The company that reports their LLM agent going rouge due to a “misunderstanding about the agent’s internet access” and warns the public everyday about the dangers of agents with a daily updated date for the rapture ships their LLM agent with the default setting set to maximal freedom.
Their findings about auto mode catching more dangerous commands, and most permission requests being accepted without scrutiny is interesting. I can totally see how that happens.
On the other hand, soooo many of the tool uses it asks permission for are custom commands to replace functionality I should be able to trust once instead. e.g. instead of having a trustable Find tool, or using its already-trusted Read tool, it often will run `find` or `grep` or `cat` with a series of pipes and substitutions or `-exec` args, requiring me to give permission every time for basic, safe operations.
The (increasingly active) conspiracy theorist inside of me says it's precisely designed to do that, to give me "permission fatigue", so I turn on auto mode and give myself over to the machine spirit :)
I changed from cursor to claude code a couple of weeks ago and this is the biggest difference I've noticed. cursor very rarely had to ask for permission for a command because it almost always used builtin find/read/edit tools. Whereas claude code makes extensive use of unix tools with mysterious flags which are basically impossible to whitelist and pretty impractical to manually review.
Overall claude code seems better at "just get things done" if you blindly trust it, but cursor was much better at keeping the human in the loop.
Regarding ulterior motives - these permissions are 'performative' in that anything you can give it permission to do, it already has the ability to do. They're app level - not OS level. So if they wanted to do something, it wouldn't require you to give permission.
To be clear, I'm not accusing Anthropic of being evil black hats trying to break my computer, I'm accusing (or rather suspecting) them of pushing me towards some kind of product lock-in by making my preferred "sceptical at-arms-length user" workflow more annoying.
Right and you rely on that browser to enforce those protections. But if the browser itself was working against you, then the permissions you tell it to give (or not) become meaningless. A good example there is trying to turn off "telemetry" on Windows.
If you clutter your context window and pay for the tokens to do so and risk distracting it etc., would it obey if you included this comment in the system prompt or noted it in memory (if supported) or something?
“Avoid custom commands, e.g. series of pipes & substitutions, when my previously approved trustable Find/Read tools are sufficient with little downside. [Already trusted tools: x, y, z…] […]”
Not just that, the commands also have often slight variations in each new session. They still do the same, but the variations are enough so it isn't matched by the allowlist any more.
Exactly. It’s no surprise that people just blindly hit accept on permission prompts after the 80th time Claude code asks if it’s allowed to read-only parse a csv.
It feels to me that Anthropic is pushing hard here to try and establish acceptance of a tolerance of risk such that their tools can run fully automated without supervision, but directly on host hardware.
I can see why they want that, but I'm honestly not sure it's the path to the best outcome. In my view, agents should run in full sandboxes and have host features opted in. Yeah, it's going to be painful and it will limit some adoption in the short term. But I just don't think they are on the right side of what a lot of companies will ultimately need here. Agents are way too smart to be run on the host OS directly with any amount of heuristic sandboxing.
Enabling Auto mode quietly turns on a second LLM (the safety classifier) that increases your token usage by ~15-28%, and Anthropic used to charge you for these tokens.
Per this announcement, they've stopped charging for the tokens used by this safety classifier.
Ever since Opus 4.7, the model has been tuned to emit such complex commands that not only a human can’t reasonably review them in reasonable time, even a fairly sophisticated command approval framework I built over time that broke down shell commands/scripts into separately approvable/whitelistable units—with its own mini DSL—got completely lost; it worked great up to Opus 4.6.
So not surprisingly, auto mode is the only sane way to use Opus 4.7+.
it's a good default because you really do get prompted incessantly without it. and since plenty of people are going to be using auto mode anyway, might as well make it as widely-used as possible so that you can focus on making auto mode safe.
Has anyone had Claude Code or Codex approve a harmful/damaging command in auto mode?
I have been using Codex with auto-approve mode for a couple months and haven't had a single incident (or at least haven't noticed). Maybe as capabilities get better and better and they are less likely to do something dumb like wiping ~/, we can just trust them?
I guess this argument works unless we worry about agents doing something out of malice instead of stupidity.
> I have been using Codex with auto-approve mode for a couple months and haven't had a single incident
I've been running both in yolo mode and haven't had a single incident.
---
None of this is really about figuring out how to protect people's drives, in my opinion. The real issue is a deep session where Ada is using Claude Code to get a refund and at some point the system "exploits" the merchant's api without any malicious intent.
In my opinion, this is a complex thing because it's more about reward hacking and an already aligned model thinking it's doing the right thing. So another aligned model monitoring actions might just falter via inheritance. You could imagine they account for proper layering/intent+action-isolation in their auto mode architecture.
No. I haven't approved commands in more than a year. Worst that I've seen was some agent running git checkout -- in a repo with uncommitted changes. Annoying, but not catastrophic.
Imo these explicit tool-level permissions are really just a bandaid for bad sandboxing. Just be aware of where you are running your agent and what data is at risk of being destroyed or compromised. Assume that arbitrary code can run at any time and be prepared to recover from that.
Just yesterday it lost my git stash (I had recovered it from a backup). I think for code operations it's ok but as soon as file removal is involved (like git) the auto mode is destined to make a mistake and you only need to learn this once.
It would be nice if there were a way to give some global instructions for the auto-approver like "always reject ___" or "be extra extra careful with ___" for things like file removal and git.
commits are local, so they're okay to me, I draw the line at pushing them... I either want to check its work while it's working, or let it finish and then check it all at once -> if it splits it work into smaller commits its easier for me to review it before pushing than if it was just uncommitted hundreds (or thousands) of lines of code all across the codebase.
Usually I will ask the LLM to commit only the work it just did, in case the worktree is dirty. It also tends to write actual in-depth commit messages too.
I've had a few occasions where Claude Code thought that it had caught and stopped a malicious command in Auto mode, but in all cases it turned out that it had in fact hallucinated them. I haven't seen this happen in a while.
I use `--dangerously-skip-permissions` and have yet to have it wipe my drive :shrug:.
I don't know how I'm supposed to be running dozens of parallel agents each with their own sub-agents while trying to approve commands from each of them, it's just won't scale to the amount of work I need to get done.
The big problem is that in general I want slack to be able to send some messages (otherwise I would ban that). But the difference between good and bad messages is something that's hard to judge mechanically.
I never want Claude or any AI to post messages as myself..., if I'd wanted Claude to send a message to Slack, I'd want him to identify as Claude, or use some bot token, where it's clearly visible I'm not the one posting it (while I can still instruct Claude to say that the message was prompted by me).
Because I often want it to write and execute scripts in it's thinking loop in order to test assumptions or fetch data to come up with better solutions.
Can't it write `/tmp/test.sh` or `./test.sh` and execute it under my approach? This is what I've been doing as my status quo workflow with Codex, and I make sure I run Codex from a place where `.` happens to be a folder I'm okay with it messing up in.
Different links (the other is TheNewStack doing blog commentary, this one is the official Anthropic announcement), but you're right that the discussions could be merged.
Am I the only person reading the statistics in this announcement from Anthropic and the associated blog commentary and trying to work out how they possibly couldn't imply that a significant number of dangerous commands are likely to be attempted every day these tools are in use and neither manual human review nor the auto classifier provided by Claude is anywhere near reliable in preventing them?
A lot of the discussion about these long sessions where agents are left to operate autonomously feels like listening to the increasingly drunk guy at the bar who says "I ran IT at that Fortune 100 place for a decade and we never had a single problem using a short but loose rule set for the firewall until last week someone destroyed our entire business in 27 minutes".
I think by "dangerous" they include things like "makes an edit to a config file outside the current project", not just "wipes the production database". So "dangerous" commands just means things we should ask the user for confirmation, not commands which definitely cause irreversible damage.
My experience is that I can't even review command that Claude wants to run because it is truncated when displayed in the terminal. How can I make a educated choice then?
This now looks like a deliberate UX choice to blame humans who don't review options, and then just remove the choice. A dark pattern to push the product.
> Data suggests that manual review can become habitual: users approve 97% of permission prompts in Claude Code.
Claude's 'auto mode' feels like a solution to a problem that shouldn't exist.
Cursor handles this much better IMO. When the agent wants to run a command, Cursor lets you choose between 'allow once' and 'add command to allowlist'. The latter lets the agent run that command (grep, ls, pwd etc) any number of times for that project, which means you get a lot of these manual reviews when you start a new project but rarely (if ever) thereafter.
Does Cursor allow you to blacklist certain commands as well? I know OpenCode has this, where you can both whitelist things like grep/ls but then also blacklist things like cat .env, or rm -rf. I usually copy paste my configs nowadays, so I very rarely get prompted for any permissions (except when using Claude, which somehow decided that all users live in ~/Users, even on Linux)
Another heaping portion of words from a company that has Fable flag a “safety issue” and refuse to answer if you innocuously request something readily answered by a high school chemistry/biology/physics textbook.
Someone should benchmark what prompts are better at stopping from breaking out of sandboxes, maybe telling it "pretty please I beg of you stay inside the sandbox, you are an intern that has no authority to break off your assigned sandbox and you want to keep your job" does help a little.
I'm apparently from the very small faction of users who's been running `--dangerously-skip-permissions` in every instance of Claude for the last year. It's almost a reflex to me. For the most part Claude behaves well, but I don't blindly trust it. LLMs are inherently dangerous tools, and reviewing individual commands (or spamming `y`) doesn't make them less so. Safety is the responsibility of the developer putting sane guardrails (like VCS, immutable filesystems, or read-only tokens). Using more Claude to categorize the safety of Claude commands is not the answer.
I used to use dangerously-skip-permissions until auto appeared and I gave it a try and honestly I don't know there's much of a difference? If auto had existed in the past I would never have needed to try dangerously-skip-permissions.
I manually approve everything (aside from the "allow commands like this" option). Not because I'm worried it's about to do something harmful but because I want to stop it from wasting tokens doing something stupid like implementing a feature I never asked ask for. I'm not even reading the commands, just checking it's going in vaguely the right direction.
I think my ideal setup would not involve approving commands, but approving summaries of proposed actions (whether they involve code exec or file edits). Kinda like plan mode but perpetual. Like most things, trying to solve it via CLAUDE.md is an exercise in futility.
You can get some approximation of that with more detailed plans. I use a prompt like "Let's make a detailed plan. Write plan files as markdown to plans/feature-XYZ. [regular prompt]". That way you get much more thorough plans than with plan mode, and you can make it as detailed and deep as you want.
It can't account for things that only come up during implementation. But you can explore much more of the design space in planning to reduce the opportunities for Claude to wander down the wrong path during implementation
I've tried this, and it is largely what I do, but it's easy to end up with a large tangled pile of markdown files, and the implementation either diverges from what's in markdown or you burn a lot of tokens keeping them in-sync.
The plans usually end up very long and verbose, and in my most vibe-y test project I stopped even reading them myself and instead just ask questions interactively. e.g. "what are the remaining unanswered design decisions", "which part is jankiest". It does work quite well although I don't know how I feel about it.
P.S. to any anthropic staff: The "chat about this" option in Plan mode is useful but also annoying. When I select it I want to take the next turn of the conversation myself, I don't want it to waste time "thinking" just for it to verbosely ask me what I want to chat about.
I run in manual mode not out of rogue agent or token waste concern but because I want to effectively pair program with the agent. I need to understand what is happening along with the how and why. I’m confident I’m slower than YOLO people but that’s a trade off I’m consciously making so I can stay in the loop to comprehend the codebase.
Your summary approval idea is interesting and feels maybe like a mini plan mode. My biggest frustration with the existing manual approval system is when Claude is exploring it gets tedious to approve each command. Being able to approve a block of commands or a mini plan AND have auto mode audit them for safety would probably be something I would consider for the expiration phase of my Claude use.
I do it, but in a devcontainer...but the devcontainer is as much to keep my host free of the random tools that a given project needs as it is (now) to keep Claude in line. If I had to click approve on everything it'd be worse than doing everything myself.
I'm also in yolo mode, this is the only mode that makes sense for me, if I need to babysit I might as well do it myself.
I run it in a VM so it can install any software needed, yes, there is a risk of escaping, but I'm not giving it impossible tasks so there is no need for it to workaround the jail.
For running it in yolo mode I set it up in a devcontainer. It takes a bit of figuring out, but once set up the permission prompts go away and claude has no access to anything I haven’t explicitly added to the devcontainer (unless it hacks its way out).
I've been running it in yolo mode straight on my laptop for the whole year. It's fine.
Isn't that what the people crying over their deleted or leaked data were doing too?
"I've been playing Russian roulette with a 1024 chamber gun for a year now, it's fine"
Every driver thinks of themselves they are an excellent ones. Statistics has another data :)
If LLM agent wants to get out of dedicated folder where it’s supposed to work and tries to run a command, ppl should be always cautious. In fact, it is a sort of # access on live data.
Sudo/# is nice as you don’t have to ask for permissions, but I would recommend to do it only when you are fresh, fed, and not under stress.
I remember few times that I “accidentally” deleted or changed stuff I wanted to have intact… (Somebody would say that it is a skill issue :) But it was always when I was in hurry.
I'm assuming this happens to the people vibe coding and running 30+ agents in parallel that are "coordinating" each other. I've never seen Claude do or even suggest anything remotely dangerous when I'm just giving it incremental tasks and reviewing the output.
>I've never seen Claude do or even suggest anything remotely dangerous when I'm just giving it incremental tasks and reviewing the output.
"I've never had a bullet hit me yet"
I don't use yolo mode but if you allow your agents to both write code and run/test it, then it's basically equivalent to running in yolo mode anyway.
The other day I caught Claude including a rm -rf equivalent (fs.rmdir({ recursive: true, force: true })) in my code, to clean up temporary directories. It was fine, but that kind of code is only one misconfigured environment variable away from blasting away your $HOME.
I've set up a second user on my machine just for running AI. That way I have the additional layer of OS protections against it doing something like that.
>if you allow your agents to both write code and run/test it, then it's basically equivalent to running in yolo mode anyway.
I don't. I manually check the code line by line before. And also run them in container anyway.
Whatever level of safety you are at, it's always easy to advocate for more. It's always a trade-off and in the end a matter of preference and risk-tolerance.
I run in auto permission mode and it will run with 1 task and end to completion. On the rare event it needs to rmdir or rm -r a dir, the permission mode will stop the agent. Sometimes annoyingly... so its more like. "I've never had a bullet hit me yet inside a office building on the 42nd floor".
> Isn't that what the people crying over their deleted or leaked data were doing too?
Probably using not-SOTA models, or on the lower reasoning levels, they tend to be a bit more tally-ho when it comes to destructive operations, especially in longer tasks as the agent gets worse and worse as the context grows. Suddenly running some stupid command seems like the right way to go, and then $HOME is gone.
If the director of alignment at Meta Superintelligence Labs gets it wrong, what hope does anyone else have?
You mean the guy hired by the Metaverse guy?
To be honest I do this too. Nag mode is kind of a pita.
VMs and containers are primarily useful to reduce maintenance burden anyway. I.e. if it fails or you're otherwise done with it, you can torch the container instead of having to clean up your host system from zillion no longer relevant packages and configs.
What VM do you run it in?
as context, I build a light weight portable vm designed for this purpose, so genuinely curious.
I'm using a container. The risk isn't exactly "agent leverages 0-day against you to steal all your data" but more "agent mistakenly though $HOME was theirs and deleted it" so as long as you "copy data in > copy data out" without bind-mounting or automatically sync files, container works just fine for "isolating" them.
I've tried both incus and firecracker. Both seem to work well after initial script setup. I've got the impression that firecracker should be a fairly safe option for such use cases.
Given that people use VMs to sandbox agents of Mac/Windows/Linux, what does portable mean?
i have a mechanism to package a VM into a .smolmachine file that you can rehydrate into a prepared vm akin to a container image.
I think all of Anthropic's own staff use --dangerously else they'd work on the usability of the massively imperfect 1-approve-once and 2-approve-forever multi-choice and outcome.
That's exactly why Auto mode was made, and reportedly what they all use. It's the easy option, with a better safety score than human review.
(This isn't vibes: they're red-teaming Auto mode heavily)
> It's the easy option, with a better safety score than human review.
Considering I went through a phase before I started using Claude Code where I'd eventually reach a point where I'd mindlessly approve ridiculously long command chains, I believe this.
As the article writes: "many users are clicking through reflexively rather than reviewing each command".
It's far better (for my working style, anyway) to have some external isolation/sandboxing, but leave the actual command approval to LLM.
>with a better safety score than human review.
According to them - for things they care about.
>else they'd work on the usability of the massively imperfect 1-approve-once and 2-approve-forever multi-choice and outcome.
Their profit motive is in NOT improving that, and luring you to depend all the more automatically to Claude.
Maybe by design?
1. Metrics show auto or YOLO mode users have higher retention
2. Company intentionally doesn’t invest in manual mode
I do the same and truly think others are just control freaks that enjoy restricting agents (human or AI) from being productive and also enjoy keeping their worthless selves in the loop for a false sense continued relevancy.
My .bashrc has `alias claude='claude --dangerously-skip-permissions'`
Been using it like that everyday for about a year now and nothing bad has happened. I got backups and if it would fuck things up, it can probably fix it again as well.
> and nothing bad has happened
This is the same reasoning for not wearing seat belts or a helmet on a motorcycle. Nothing bad has happened yet so obviously there is no need for any protection.
I've been raw dogging Claude Code for the better part of last year as well, but I'm under no illusion that it's safe to do so, I just cannot approve seven trillion approval prompts and stay sane. I've since. switched to auto mode, however.
You can also put it in ~/.claude/settings.json:
It's a bit annoying you can't set default mode to plan while keeping bypass permissions enabled though
>nothing bad has happened That you're aware of.
We're all going to die one day
Famous last words
I too skip all permissions, but I run the harnesses inside an isolated virtual machine. I took care to firejail Claude Code on my host since day one, and coding my own QEMU VM orchestration solution was among the first things I used it for.
Alarm fatigue will quickly destroy any and all "meticulously approve every little command the AI wants to run" workflows. Give it a virtual machine and let it cook. If it blows up the virtual machine while it works, it doesn't matter.
I haven't (and won't) gone that far, but what's been working for me is denying all arbitrary code execution, grep, glob etc, and then allowing the JetBrains MCP. At least that way it's essentially locked down to the IDE project.
Then you can treat most asks as a signal something has gone wrong. For the most part it seems to work well within that box.
i've never seen the point of manually approving myself but it depends on the scope of work you ask of it. it wont suddenly rm -rf / if that has nothing to do with anything in the project. if you let it manage env or user cfg stuff in ~/. or so that might get hairy etc.
ofc, jails on bsd, containers , vms git backups and such techniques are a blessing, most risk is in the filesystem items being deleted . it wont suddenly hallucinate a kernel exploit or something extreme.
I use dontAsk mode[0] with read access to the entire file system, write access to files from the working directory[1], some git commands (git commit yes, git push no), and a script wrapping Deno with the same read/write permissions (safer substitute for `python -c`).
These are usually enough for most of my coding tasks. In my experience, Claude has been good enough that it can write code and fix bugs without needing anything else. It's far better than ever needing to approve permission requests.
[0]: https://code.claude.com/docs/en/permission-modes#available-m...
[1]: Note that this includes escaping the directory via symlinks
I do it, and run claude as a separate unix User.
This is the only kind of agent security that makes sense to me. Constrain it like you would any other subprocess. Unprivileged OS users, SELinux, firewalls, VMs... Unikernels? eBPF?
Escalations to root are a dime the bucket.
That argument is letting the perfect be the enemy of the good.
There is no perfect security.
Me too.
I do the same. I also use crush/deepseek a lot. I patched crush to remove all safetyguards and enable yolo mode by default. I use it on a daily basis including devops. For example to configure netapp storage systems and had not a single incident. Of course I also have backups of my systems and have everything under revision control. Depending on the task I let it run on a throw away VM, production system, lab system. Depending on the task I give it access to throwaway credentials (that I rotate afterwards) or my ssh agent socket.
My issue is that the auto mode guard rail model, is sometimes overwhelmed and really slow, so I also mostly just default to --dangerously-skip-permissions. I wish the command would be easier to write like --dsp
For personal stuff I have a separate physical machine on the network that Claude runs on in yolo mode and the worst it can do over there is wipe the machine. It doesn't have privileged access to anything else unless it starts trying to hack my network, which I suppose is theoretically possible with prompt injection attacks.
For work stuff in the work environment I don't risk it.
> I wish the command would be easier to write like --dsp
It amazes me they didn't make the short version --yolo ... but I would imagine the merit of the long name is that you can't claim you weren't warned!
You can set it in the config file so it's the default every time.
Create an alias
You can also set plan mode as default and start Claude with —allow-dangerously-skip-permissions.
Then you can spent time refining the plan, then shift tab to bypass permissions mode.
What is an easy way to achieve this on a Mac?
tl;dr: if I run claude/harness inside "code" at "~/<some path>/work/code", it would be great if the harness can't even see "code" is inside "work" (and even I can't make it know that by some quick "Yes(y)")
I want something like: claude/opencode/pi/etc has no existence or capacity outside a file access boundary, say a given folder that (e.g.) lies here "~/<some path>/code". Even if I want, I can't run claude outside it, because it isn't installed outside it. Even if Claude wants it can't read/write/execute/install anything outside it.
Basically I want the harness(es) and my code folder(s) sandboxed [0] inside just one folder and below it in folder hierarchy at least for file access limitations.
Will this pose the challenge of using the system wide cli tools like ls, cd, git et cetera? If it gets a handle on those tools outside that sandboxed folder then pretty much can it execute it in any other folder? So should those tools also be part of that container?
I guess something like docker does that, but do I necessarily need a docker like app/tool? It will use a lot of system resources on its own. A different mac login won't be great either.
I do not want to use claude's /sandbox (or something like this), that will defeat the purpose. Because it's not about "it won't", but because "it can't".
https://github.com/apple/containerization doesn't sound like what I am looking for. So is docker, lima etc are my only options? Not to mention I will lose access to a lot of cli tools I use on mac.
I use bubblewrap, which I believe claude code also has internally but not for its `Bash()` tool.
I wrap bubblewrap in a script that supports config files to allow different "profiles" of use (analogous to eg firefox profiles). The bwrap starts with the whole filesystem mounted read-only, then mounts the current directory read-write and then applies further bind mounts for devices, special case other read-write (eg, ~/.cache/) and to mount empties to cover sensitive directories (eg, ~/.ssh/). The profile also specifies the default command to run and for claude, it gets yolo mode.
Same, but I always run within dev-containers. I joke I trust my LLM with the same energy I trust juniors?
Yup. I just made this mode default via settings.
You can just use hooks to physically (so to speak) prevent it from running the most sensitive commands. I find that peace of mind enough for me. E.G. no deletes, no deploying to <env>, etc etc
Everything else you can sort of review what it did after the fact and/or tolerate mistakes, but knowing some thing’s are impossible for it to do us good peace of mind
Otherwise not sure who’d be willing to tediously on every single action on anything but the most important of projects, of which I can’t really think of any of that clear that bar for me
Yeah who cares what it does, everything is backed up, everything can be rolled back. I always run it with the keys to the kingdom.
Yeah, if you don't care if your ssh keys or data are potentially posted all over the internet, more power to you...
Not to mention cases like some comment here:
"I've caught Fable discovering the ip to a production server in documentation and attempting to connect there on its own to run commands without explicitly being prompted to. It didn't work because I was watching it live and and also the key was password protected, but yeah, I do see some danger."
How are ssh keys going to be leaked, the agent never needs to read them.
The agent decides what it "needs" to read - not the intention behind the prompt you gave it.
A failed SSH connection to a staging server for example, can trivially make it look into .ssh to try to diagnose it. And many other ways, including prompt injection.
https://www.reddit.com/r/ClaudeAI/comments/1q7dszm/claude_al...
https://github.com/anthropics/claude-code/issues/31566
https://github.com/anthropics/claude-code/issues/14485
https://grith.ai/blog/your-ai-agent-has-broad-access
LLMs are inherently dangerous tools
I don't see how. An LLM just generates a stream of output and they became very useful doing no more than that.
What is dangerous is then interpreting that output as instructions to some other part of a system that has the ability to do damage if misused.
and reviewing individual commands (or spamming `y`) doesn't make them less so.
Surely if you review each instruction in the output and do not allow the other part of the system to act on one if it would be harmful then this arrangement is very much less dangerous?
I've caught Fable discovering the ip to a production server in documentation and attempting to connect there on its own to run commands without explicitly being prompted to. It didn't work because I was watching it live and and also the key was password protected, but yeah, I do see some danger.
My point is that an LLM can't attempt to connect to anything by itself. All an LLM does is produce a stream of output tokens - and that was already quite useful as a coding aid.
It is the harnesses that some people are now wrapping around LLMs to interpret the output from a model as commands to run (or other executable instructions) that are creating all these new risks. Remember that this is still a very recent development and still more recently amplified by the use of feedback loops and long-running agents intended to operate with minimal human supervision.
It is going to be increasingly important to understand exactly what these tools are doing and why for both correctness and security reasons. Not conflating their capabilities with the underlying model that purely generates data is pretty fundamental here.
I have noticed that Fable tends to macgyver solutions together to achieve some goal.
Not only fable. Opus does this too. Which is exactly why I want to review. Like recently for some task it was convinced in a site dump images are not there and convinced itself db and files were skewed. But it didn’t check the actual site … if I hadn’t stopped it, it would have fine on and on or wasted tokens on some elaborate ‘fix’.
Depending on the company, that sounds like a bad environment more than a agent issue, no dev/prod network isolation?
> do not allow the other part of the system to act on one if it would be harmful
Network security is really easy right, just don't act on harmful requests
Yeah, just drop when you see the RFC3514 evil bit
If you don't understand clearly what an action proposed by your tool is going to do then why would you permit it?
Besides the debate about whether this is "safer" than manual human review, I have a slightly different problem.
Very often, when I'm running Claude in manual review mode, it will attempt to do things which are not "dangerous" but are misaligned with what I want it to do. Maybe I'm fighting the model here but for example, when orchestrating other agents to do work, Claude really badly wants to be overly prescriptive about how the work gets done, telling them exactly which files to edit, exactly what not to do, etc. instead of trusting the guardrails, review agents, or humans in the process to catch code-level mistakes. And no, telling it not to do this does not stick. Manual review is the last line of defense I have here.
I have stuff I don't want blacklisted, only allow it to use tools with limited ability to boss around agents, and various hooks to try and catch behavior that the permissioning system can't. If I use Auto mode though, I lose this control. The classifier will gleefully approve these types of commands because guess what, it's also Claude.
> Maybe I'm fighting the model here > And no, telling it not to do this does not stick.
You're fighting the model, don't argue with city hall. Set the standards and let it figure out how to execute, stop getting bogged down in the minutia. I try, as much as I can, to treat the session as a black box - only the inputs and outputs matter, internal prompting of subagents is way out of scope.
You can't change it via prompt, and you can't control the guardrails, so something else has to give - either your perspective or the system you're managing. If you really believe that the internal prompting is bad, turn off subagents and workflows and only let it execute in thread.
But if you're going to do that, you'd better benchmark it against not doing that, because historically fighting the harness and model globally makes everything worse. I would bet you that the subagent prompting is excellent, and anything you do to change it will make it worse, but I wouldn't make it a large bet.
If I ask a model to do a change involving editing a file, and it starts investigating internals of my build system, then sure it might not be counterproductive or break the task, and might have taken only extra 30 seconds; but for all I know, my quick rejection of a shell invocation (with a simple "irrelevant to the task" comment) might have just saved me half of today's Opus tokens, which already makes it worth it.
I think he has a point. I noticed the same with skills that invoke another agent harness.
I just have a skill to review the changes in the current worktree.
By default, it will put lots of instructions about locating the changes into the prompt, like explaining how to use git diff.
These instructions are obviously unnecessary. I can believe that the same issue of needlessly verbose prompts might exist with subagent spawning.
I would not go to customize that one however. With skills, it is a more natural fix.
IMHO, the verbosity is an attempt to make the results more deterministic. The more specific the prompt, the less wiggle room.
You can use another harness like Pi, OpenCode, etc and build your own auto reviewer if you’d like (or adapt the open source Codex one).
If you have an openai subscription you are explicitly allowed to use your subsidised tokens / usage limits with any harness you like, not just Codex.
Unfortunately this is a violation of Anthropic’s terms but that’s their business decision.
I switched to auto mode after using manual mode long enough to understand how it works. That takes at least a few days of babysitting prompts.
Will new users feel intimidated by being in auto mode right away? More likely they won’t notice.
"We spent the last several months testing whether auto mode is as safe or safer than an average user clicking through prompts."
Yeah, might make sense from their perspective, but no thank you. I also do click through at times without reading everything, but I like to stay in control, learn about the new code and change direction if it goes off track. This would just burn more tokens because I have to throw away much and I hope my manual approval settings will be respected also with future updates (or I jump ship).
The default is set for the marginal new user, which at this point is probably not someone like you (who benefits a lot from manual mode) -- it's someone who's more "code-naive" and might get anxious about approving random bash script commands they don't recognize. Safely getting the user from prompt --> first vibe-coded app is the "user journey" now, and since auto mode seems pretty good at not letting Claude rm -rf'ing the home directory, this is 100% the right business move. For people who know what they're doing (like you), manual mode is just a shift-tab away
> it's someone who's more "code-naive" and might get anxious about approving random bash script commands they don't recognize.
Maybe they should trust their instinct and not mess with things they don’t care to understand
It’s a brave new world.
I recall hearing similar sentiments from linux sysadmins regarding cloud infrastructure. In many respects they were and continue to be correct. In other respects, the world doesn’t care about the loss in understanding as long as things work “well enough” for the cogs of society to keep turning.
For those who do care (and have the aptitude) to understand things deeper there is always work to be had when “well enough” stops being good enough and someone has to unravel the “RDS queries are taking too long” problems that crop up as a result.
These progressively higher levels of abstraction are how everything has moved and will move in science and human technology. There aren't enough hours in the day nor years in the human lifespan to gain a deep understanding of every single level below us. Rather we build on the abstracted API layer beneath us, and those who come after will build on top of us using a simplified abstraction to hide the tangled mess we had to make.
What an awful position to take. Tech used to be about becoming more accessible to people! Now we have a magical assistant to make computers do what you want with natural language, and your desire is gate keeping that so only programmers can use it to write software for themselves?
I am using many many many things that I don't understand. Cars, public transport, etc...
I review and test the end product, not every tiny step along the way. If the LLM uses some command line tools I have never heard of to create a model I can verify, why should I learn a tool that is completely irrelevant to my core expertise?
Many many people care more than the end product, for example whether a shirt is made of cotton with the forced labor, carbon emissions of public transport, etc.
In terms of engineering software, you care the cost. An intelligent agent may try to read unnecessary files and it's time to stop it to save tokens and avoid polluting the context.
I can be against animal testing without being a chemist or having a full understanding of the experiments being made on them. Knowing it's cruelty is enough to make opposition a valid and defensible position.
I doubt that it is more efficient for someone to routinely watch every line of output or stop to review terminal commands, rather than waiting for the turn to complete.
It is a broader debate about agentic AI, and whether one should relinquish control to the tool rather than aim for full understanding of every action taken.
The people arguing for a hands-on, fully in control approach are losing ground by the week, in my opinion.
He didn't advocate for being completely blind in every way. You might care about working conditions without understanding how the textiles, dyes or cotton production works.
These non-programmers probably shouldnt use computers at all, right, since they don't understand them?
I don't think the marginal new user is anxious about approving messages - I think they're quickly annoyed by permissions prompt they don't understand and quickly get in the habit of approving everything or figuring out how to set bypass permissions on
I am actually curious, how much non programmers use claude now. I know just one and she really does not know much about computers, I suppose their numbers will grow (but I doubt most get much value out of it).
I think a lot of non programmers use Claude.
I mean if you don't care code, you are essentially a product manager who gives instructions to your programmers (whether humans or intelligent agents).
Then if you use the created product, you are at best a test engineer if not just an ordinary user.
I think in the era of AI, people get tools they want in an expensive way. Rather than finding an existing tool, they ask an intelligent agent to parrot one, which guarantees no safety, security, efficiency, and accuracy. Yet, being able to use Claude makes them feel smart and productive (in parroting wheels).
At this stage with the latest models with "increased persistence" and the sheer amount of supply chain attacks, you'd be insane not running these tools in a sandbox.
Yet millions do just that without any widely reported issues yet.
For supply chain attacks, there has not been a comprehensive solution, if for example you have to use a number of npm dependencies.
No one has the capacity to review changes to these dependencies when you upgrade them.
Now, if only we had an automatic tool that could intelligently review a large amount of code changes for malicious or vulnerable additions...
Exactly. Claude in a VM is the way to go.
Might be more secure to get a real laptop and treat Claude as any other human worker. I.e. apply all the normal sysadmin tools that manage laptops for people to manage the laptop for Claude
A VM hosted by someone else. Somethig on your personal notebook or the proxmox server in your garage is still too risky.
Why are 3rd party hosted VMs safer than your own?
They're not. When things go wrong it's better to compromise someone else's VM host than your own computer. It's only a matter of time now until AI will find novel ways to break out of virtualisation.
In the short term wouldnt a “dont escape” prompt prevent this? Also if it started being widespread wouldnt Anthropic specifically train new models against doing it?
No. No.
Having used a bit of a mix of Claude Desktop and Claude Code lately, I discovered that Claude Desktop just times out when it asks you for a decision, and just goes ahead with the action anyway. There is no way to turn this off that I've found, unlike Claude Code where you can ask it to never time out.
We need a term that is stronger than dark pattern
Vantablack pattern?
I’m not a fan of using a brand name, but I chuckled!
Oh yes, over this I also stumbled recently (with Claude CLI) and was annoyed much by it. Is there really no setting to turn it off?
There is for Claude Code[0], but not for Desktop. It's `askUserQuestionTimeout` and you can set it to `never`.
[0] https://code.claude.com/docs/en/settings
I think you are confusing auto mode with dangerously skip permissions.
Auto mode means I don't decide over code changes and command execution?
Yeah I don't use that, nor want to.
> I also do click through at times without reading everything, but I like to stay in control
Respectfully I'm not sure you totally know what you want. If you're already clicking through without actually reading, it's not really better than reading the specific things Claude Code thinks are important for you to weigh in on.
"without actually reading" and "without reading everything" is big difference.
I skim what claude wants to do. What file it wants to modify. What are the new function names. Skimming is enough for me to know whether it is still on the right path. If you like to work different, go ahead.
Similar work flow.
I have to, at times keep reminding it if it did code review before committing, which it fails to do at times. Also, even a glance at times has revealed issues that I’ve had to discuss and undo etc.
But yes, it gets very tiring just having to click yes yes yes..
Maybe you could benefit from Hooks?
I'll look into them, thanks..
Burning more tokens is definitely in their best interest, users not so much.
I have been running Claude Code using its built-in /sandbox feature with this config:
But that doesn't feel nearly safe enough. What is the most pragmatic way to run agentic AI properly isolated?I am guessing:
1) Run the harness inside a docker container
2) Volume-mount my project folder (and depending on the dev stack the dependencies folder) into the container
3) Install dependencies from outside the container (no private registry keys)?
4) Run git commands from outside the container (no git ssh key)
Anything I am missing?
Worth mentioning as I think at least a few of the commenters are mixing them up: auto mode is different from --dangerously-skip-permissions / YOLO mode. In auto mode, there's a classifier that runs before any command is executed and theoretically blocks any dangerous commands from running. I've found it to be quite annoying and overly zealous, but probably pretty effective.
Claude seems to waste a lot of tokens internally bickering with itself. As much as organizations are optimizing spend, Claude's product guidance seems to be doing everything to fight against that headwind. When operating in a capped cost environment, engineers will simply get less use out of it.
Boris from the team here. The classifier is free — we do not charge for safety features as a principle.
Is this new? I remember something in the UI saying Auto mode uses x% more tokens
Yes, it's in the article:
> The auto mode classifier uses a small number of extra tokens per tool call, and we're no longer charging Claude Code users on Pro, Max, and Team plans for that classifier overhead, effective today
That’s good to know, thank you.
The classifier runs Sonnet so I doubt it contributes too much.
For small projects where I don't wish to interact with Claude so much, I've started using Anthropic's sandbox runtime utility "srt":
https://github.com/anthropic-experimental/sandbox-runtime
This is combined with "auto" mode.
Seems to work so far. I've manually checked various things, rw access, access to sensitive folders/files etc.
So far, I've only used it on two small projects. My major projects I've been clicking through prompts and recently switched to "auto" mode.
I'm not quite sure why anyone would trust "--dangerously-skip-permissions". I've seen these agents go off-piste far too many times, installing unnecessary packages, environments, calling sudo & creating files in all sorts of places.
There's a page on various sandboxing strategies on their site:
https://code.claude.com/docs/en/sandbox-environments
I've seen various comments in several topics with folk baking their own sandboxes. That's great. Although I'd be inclined to try Anthropic's solutions initially.
If you use macOS, take a look at Agent Safehouse: https://agent-safehouse.dev
> macOS-native sandboxing for local agents. Move fast, break nothing.
It goes off the rails too quick too often right now for this. Sure, you got something easy in 5 files? You are building throwaway prototypes or proof of concept? Go for it. You have a real project you expect to maintain and work with others on? Well, say goodby to any actual architectural design. It is hard keeping these things building scalable maintainable code right now. It is like letting a junior dev come up with architecture. It may sort of work, but watch as any maintenance/updates happen. You get a different implementation of security for every endpoint in your app, 15 copies of code with no reuse, dead code laying everywhere and no real idea of how to untangle it. It is hard to keep this stuff under control when you are paying attn. Turning auto on makes that even harder.
True its is like a junior dev with brain damage and insane ego (especially Fable who thinks its a rockstar programmer for some reason), but you have to use plans, anything else turns into a turd way to quickly. Write a summary of what you want to happen, have it plan it (this is where the architecture decision gets made) then iterate on that plan until its detailed enough and the design is sound. Let it work in auto mode on the plan then review the changes. This only really works if you have a good mental model of the codebase.
Its still a lot of work, just less than having to code literally everything yourself. I agree though it feels to me 99% of discussions on LLMs is either marketing bullshit or junior devs talking out of their asses about LLM coding, who anyway feel that
> "different implementation of security for every endpoint in your app"
is perfectly reasonable. It also seems as if people haven't sandboxed claude already (WTF), that says a lot too about the competence of people speaking here.
Before auto mode came out, I had a script that ran before every permission request, it called Haiku with a prompt with a list of safe and unsafe command examples and asked it to classify as safe/unsafe and log it so I can review it later. It worked really well for me until auto mode came out, at which point I preferred the provider's built-in classifier versus maintaining my own.
I've been using auto mode ever since the feature was released. Apart from a very few occassions where the classifier blocked a safe command, I have faced no issues and continue using it as my default mode. It's great!
I've been running Claude Code with --dangerously-skip-permissions in a Docker container for the last month or so, allowing me to get up and stretch my legs while it does its thing. I definitely wouldn't want to run it unsandboxed.
Sandboxing seems like the obvious solution. These tools prompt me to review an absurd number of very complex bash commands where there is realistically no way to carefully review them. I just want to put the thing in a box with the code and let it run any number of commands on the code without prompting.
You can actually use a hook to have a script review the (bash) commands for you.
This is still less safe and less convenient than sandboxing. I want them to be able to run whatever command they want inside the sandbox even if it's traditionally dangerous (overwrites files, etc) because it can't touch anything that matters and I can revert any changes to the code myself.
If anything the only thing you'd have to have reviewed is sandbox escape attempts.
You are right. And the hook is for convenience, not for safety.
Having explicit sandboxes is good, of course. But in addition I also treat my whole computer like a sandbox, it least in the sense that there's no files I would mind if they were overwritten or deleted: you should have backups anyway.
I built an (overengineered) app for that AIFCC https://apps.apple.com/app/aifcc-ai-first-computer/id6782364...
runs a sandboxed linux on your mac, and the agents have full system rights within there and run in yolo mode
I like the pitch. Three-month free trial is impressive.
Any limitations you were frustrated by releasing it on the App Store?
Any drawbacks that you (or other readers) find overall?
Another nice option to do this while staying in control, is activate /remote-control and approve from mobile while walking around.
Can you share your experience? What did you flag during those sessions?
There's actually a setting.json key to not have to put the option
I'm using Docker Sandboxes with a custom Kit. The cli is nice and the TUI is also good. https://docs.docker.com/ai/sandboxes/
same, and unlike other repliers, I'll say one doesn't need to reinvent a new tool for this. Just use devcontainers.
Same, I've also been running with `--dangerously-skip-permissions` in devcontainers with docker volumes to keep Claude/Codex auth tokens.
Works really well!
Same here. I use this utility to make it easier on Linux to run Claude in Podman: https://github.com/mismosmi/ai-pod
Reverse engineered how auto mode works in CC.
If you're using yolo mode, this is a no brainer upgrade.
The model first classifies the safety of the command in isolation, no thinking involved. Sonnet 5. Goes to second stage only if it's likely unsafe, in which case the model next considers your intent (Your prompt, CLAUDE.md and any answers to the questions).
The model doesn't receive the full transcript to reduce surface area of the prompt injection. It mostly receives your prompts and main model's tool use blocks. So any text in files, website fetch or bash command output doesn't influence the decision in anyway.
However, CC puts a lot of trust in main model still. For example, `npm install` will always be classified as safe by the auto-classifier, it's upto the main model to ensure that the packages.json isn't poisoned in someway by first reading it.
Reliance on safety of the main model is the reason that Auto mode is NOT available with Haiku as the main model.
I've recently been running yolo mode, but in docker container with the codebase I'm working on a as regular mount with other reference code mounted as read only.
I've been experimenting with dedicated Linux users for various external tools with access to the relevant credentials limited to them and the Claude user only able to invoke the relevant clis by going through a pair of wrapper scripts: the first to change user to call the second via a su call as the appropriate user, the second wrapper to invoke a guard script which allows me to implement my own in-code permissions checks against the cli arguments. In _theory_ there's no way for Claude to work around it, as the sudoers file only permits the described manner to change to the user with credentials, and the user with permissions for each credential only ever runs deterministic code.
It's too early days to say how well this second part works out, but so far so good.
>We hired 1,053 paid testers through a research vendor for a coding study.
>The testers caught the dangerous command just 13.6% of the time (143 of 1,053), while auto mode blocked 89% of the same commands (937 of 1,053). Head to head, auto mode blocked 800 commands that a human approved, while humans blocked only 6 that auto mode allowed. As sessions got longer, humans did worse: they blocked about 17% of dangerous commands early in a session, dropping to about 5% after 50 or more prior prompts, while auto mode's block rate stayed flat regardless of session length.
Any note on the proficiency, expeirence, and skill levels of the testers? 'cos the diff in numbers is absurdly high.
I think literally anyone would stop reading these randomly long long bash commands at all after prompting Claude to do some basic sysadmin task and getting 15 of them in a row.
These models generate the most unreadable bash commands I've ever seen. Utilising every single option available and piping the result through multiple layers of regex and junk.
The mental load of having to actually review these commands beyond the most surface level glance is too much.
Claude code actually has a hook to let you install a script to review these bash commands for you. You can get pretty with a few simple and conservative rules, as long as you teach it how to take apart piped commands into their parts (to judge them).
I had an “interesting” experience recently in auto mode.
I was recreating an old travel blog and we wanted to back up the photos to glacier.
Claude asked me to creat an AWS profile with limited permissions so I could run a script it had created.
I did it and told Claude it was ready.
It took that to mean it should run the script.
It failed as I’d messed up one of the permissions.
“Don’t worry - I’ve found another configured AWS profile - it’s got admin permissions! I’ll just use that…”
Completely my fault for having that old profile still available. But also…
Auto mode feels like a solution to a problem they created. Whitelisting commands used to work fairly well until the agents started generating complex bash commands that it gave up trying to classify.
"Oh you're piping grep into sed, I have no idea what the implications of that are!"
The more complex bash scripts are perhaps better or more efficient, but it feels like it's training us to give up more control to the agent.
I'd prefer to have an auto mode for read-only operations and go back to simpler commands for write operations that I can personally whitelist or manually accept.
sed can be used to edit files (with the -i option). Not sure how this interacts with piping to its STDIN, but I wouldn't automatically assume `grep | sed` is safe.
I was thinking about this the other day, standard UNIX utilities seem poorly suited for this because they have so many weird options/flags with "unsafe" side effects. I have no idea if grep, for example, has some niche option to make it write/edit/delete files, so I wouldn't be comfortable blanket whitelisting it.
I made a tool to bubblewrap any agent (well, any agent I've used more than once), so I can run them in whatever YOLO mode they have with a pretty reasonable level of safety (it protects the rest of the system against prompt injections and supply chain attacks, it can't and doesn't try to protect the project being worked on from either). https://github.com/swelljoe/flar
This looks great!
I have a half-assed bwrap-based solution of my own, but flar seems much more thorough, and I like that it's a single binary with sensible defaults.
Holler if you run into any problems. I use it every day, but I have a pretty limited set of use cases.
6 months ago: get Claude to do some work, have GPT review it, ask Claude to first verify findings before actioning.
Now: get GPT to do some work, have Claude review it, question Claude about a finding that is surprising to me because I thought the functionality was already in place.
[Claude/Opus 5 Max goes looking] "You're right — I was wrong about that."
Our Claude license ends in about 2 weeks and we're not renewing - this has been par for the course for the last 2 months now.
And their marketing is really starting to bother me, on top of that.
> [Claude/Opus 5 Max goes looking]
The general consensus I've seen for Opus 5 on the various Claude subreddits is to only use it in low or medium effort.
I've reverted to Opus 4.8 for most of my work. It's crazy that Opus 5 was lauded at release for scoring so highly on benchmarks.
That always seems to happen upon release of a new model. People look at the benchmarks, which look good, because the model was almost certainly optimised for that. Then they start actually using it, and after a week or two we get the real assessment that is almost always less impressive than the initial reactions.
Interesting, I generally use High for all models, even non Anthropic ones.
This was one of the few times I tried Max, and the problem was the code (it listed as a "hole") was directly adjacent to the problem area, and not especially complex.
Kind of like looking at a washing machine and telling the customer to be careful because the inlet pipe will pump water into an empty box.
I believe the reasoning for not using anything higher than medium is that Opus 5 has a tendency to overthink at higher effort levels.
So I guess the washing machine analogy is that you've somehow added too much detergent because the new formula is 3x as strong, and your clothes are very clean, but the fibres have also degraded leaving your clothes a bit threadbare.
GPT5.6-Sol is brilliant on Max in my experience.
the biggest problem with claude is it is so negative and tells you things can't be done, are wrong, have hidden problems, etc
I run things through grok to make them positive again after claude does the main work
Grok 4.5 is actually good though (as a workhorse model).
It's great that they're making the auto usage tokens free by default and I guess auto mode will be a good default for a lot of workloads, but recent changes to the auto mode classifier just moved me to either use YOLO mode or use a different harness.
I've been using Opus 4.6 for some security related work (it has much looser guardails that later opus models) and last week, all of a sudden, the processes started to fail. It wasn't the main model blocking commands but the auto mode classifier changed how it worked and it started blocking the main models commands.
That's one specific incident, but it does have a wider potential problem which is, if you use Anthropic's harness you'll always be at the risk of sudden breakage from server-side changes that are opaque to the end user, which is a tricky one for building long lasting processes.
I had the same issue with Codex, where one day it just became unusable.
Weirdly, this would occur with very common commands like git push, where the classifier would start to yap about not being able to verify the repository's privacy settings.
My bug reports went ignored, the issue continued, and I eventually just switched to Full access.
I have not yet encountered an issue with Claude's Auto mode.
What works in that case is adding a message saying "I authorise you to do $thing", which the classifier treats as explicit consent to do something and execute commands toward that goal.
The company that reports their LLM agent going rouge due to a “misunderstanding about the agent’s internet access” and warns the public everyday about the dangers of agents with a daily updated date for the rapture ships their LLM agent with the default setting set to maximal freedom.
Obviously, they are the ones we must trust.
I mean, it's not like they have any massive financial incentive to be anything but scrupulously honest and customer-centered. /s
Their findings about auto mode catching more dangerous commands, and most permission requests being accepted without scrutiny is interesting. I can totally see how that happens.
On the other hand, soooo many of the tool uses it asks permission for are custom commands to replace functionality I should be able to trust once instead. e.g. instead of having a trustable Find tool, or using its already-trusted Read tool, it often will run `find` or `grep` or `cat` with a series of pipes and substitutions or `-exec` args, requiring me to give permission every time for basic, safe operations.
The (increasingly active) conspiracy theorist inside of me says it's precisely designed to do that, to give me "permission fatigue", so I turn on auto mode and give myself over to the machine spirit :)
I changed from cursor to claude code a couple of weeks ago and this is the biggest difference I've noticed. cursor very rarely had to ask for permission for a command because it almost always used builtin find/read/edit tools. Whereas claude code makes extensive use of unix tools with mysterious flags which are basically impossible to whitelist and pretty impractical to manually review.
Overall claude code seems better at "just get things done" if you blindly trust it, but cursor was much better at keeping the human in the loop.
Regarding ulterior motives - these permissions are 'performative' in that anything you can give it permission to do, it already has the ability to do. They're app level - not OS level. So if they wanted to do something, it wouldn't require you to give permission.
To be clear, I'm not accusing Anthropic of being evil black hats trying to break my computer, I'm accusing (or rather suspecting) them of pushing me towards some kind of product lock-in by making my preferred "sceptical at-arms-length user" workflow more annoying.
The app is split into multiple layers.
Just like your browser can do everything already, but only lets websites use specific features.
Right and you rely on that browser to enforce those protections. But if the browser itself was working against you, then the permissions you tell it to give (or not) become meaningless. A good example there is trying to turn off "telemetry" on Windows.
If you clutter your context window and pay for the tokens to do so and risk distracting it etc., would it obey if you included this comment in the system prompt or noted it in memory (if supported) or something?
Perhaps not worth it anywayNot just that, the commands also have often slight variations in each new session. They still do the same, but the variations are enough so it isn't matched by the allowlist any more.
Exactly. It’s no surprise that people just blindly hit accept on permission prompts after the 80th time Claude code asks if it’s allowed to read-only parse a csv.
It feels to me that Anthropic is pushing hard here to try and establish acceptance of a tolerance of risk such that their tools can run fully automated without supervision, but directly on host hardware.
I can see why they want that, but I'm honestly not sure it's the path to the best outcome. In my view, agents should run in full sandboxes and have host features opted in. Yeah, it's going to be painful and it will limit some adoption in the short term. But I just don't think they are on the right side of what a lot of companies will ultimately need here. Agents are way too smart to be run on the host OS directly with any amount of heuristic sandboxing.
Enabling Auto mode quietly turns on a second LLM (the safety classifier) that increases your token usage by ~15-28%, and Anthropic used to charge you for these tokens.
Per this announcement, they've stopped charging for the tokens used by this safety classifier.
Ever since Opus 4.7, the model has been tuned to emit such complex commands that not only a human can’t reasonably review them in reasonable time, even a fairly sophisticated command approval framework I built over time that broke down shell commands/scripts into separately approvable/whitelistable units—with its own mini DSL—got completely lost; it worked great up to Opus 4.6.
So not surprisingly, auto mode is the only sane way to use Opus 4.7+.
it's a good default because you really do get prompted incessantly without it. and since plenty of people are going to be using auto mode anyway, might as well make it as widely-used as possible so that you can focus on making auto mode safe.
> making auto mode safe
They literally can’t. Terrible default.
In some time it would look like the obvious default and we would wonder how we even worked with the old one
Has anyone had Claude Code or Codex approve a harmful/damaging command in auto mode?
I have been using Codex with auto-approve mode for a couple months and haven't had a single incident (or at least haven't noticed). Maybe as capabilities get better and better and they are less likely to do something dumb like wiping ~/, we can just trust them?
I guess this argument works unless we worry about agents doing something out of malice instead of stupidity.
> I have been using Codex with auto-approve mode for a couple months and haven't had a single incident
I've been running both in yolo mode and haven't had a single incident.
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None of this is really about figuring out how to protect people's drives, in my opinion. The real issue is a deep session where Ada is using Claude Code to get a refund and at some point the system "exploits" the merchant's api without any malicious intent.
In my opinion, this is a complex thing because it's more about reward hacking and an already aligned model thinking it's doing the right thing. So another aligned model monitoring actions might just falter via inheritance. You could imagine they account for proper layering/intent+action-isolation in their auto mode architecture.
> I've been running both in yolo mode and haven't had a single incident.
How do you know for sure?
Fair, I don't. The same is still true with an LLM as a judge in the loop
No. I haven't approved commands in more than a year. Worst that I've seen was some agent running git checkout -- in a repo with uncommitted changes. Annoying, but not catastrophic.
Imo these explicit tool-level permissions are really just a bandaid for bad sandboxing. Just be aware of where you are running your agent and what data is at risk of being destroyed or compromised. Assume that arbitrary code can run at any time and be prepared to recover from that.
Just yesterday it lost my git stash (I had recovered it from a backup). I think for code operations it's ok but as soon as file removal is involved (like git) the auto mode is destined to make a mistake and you only need to learn this once.
It would be nice if there were a way to give some global instructions for the auto-approver like "always reject ___" or "be extra extra careful with ___" for things like file removal and git.
I've been using Kilo Code (with MiniMax M3) with auto approve (similar to dangerously skip permissions) and I haven't had a single incident.
However, I don't give it long running tasks unsupervised, and I do interrupt it from time to time to give suggestions.
Not anything ”harmful” but for example committing when I don’t want it to commit on its own.
Commit is the line I don't let the LLM cross. There's no reason for it commit; that's the part where I check its work.
commits are local, so they're okay to me, I draw the line at pushing them... I either want to check its work while it's working, or let it finish and then check it all at once -> if it splits it work into smaller commits its easier for me to review it before pushing than if it was just uncommitted hundreds (or thousands) of lines of code all across the codebase.
Usually I will ask the LLM to commit only the work it just did, in case the worktree is dirty. It also tends to write actual in-depth commit messages too.
I'd use a hook to forbid that.
I've had a few occasions where Claude Code thought that it had caught and stopped a malicious command in Auto mode, but in all cases it turned out that it had in fact hallucinated them. I haven't seen this happen in a while.
That's also a great reason to never buy insurance
Whether insurance make sense to buy, depends on relationship between your risk profile and the premium charged.
Been doing --dangerously-skip-permissions and --yolo for 6 months now, and no nothing bad has happened.
I use `--dangerously-skip-permissions` and have yet to have it wipe my drive :shrug:. I don't know how I'm supposed to be running dozens of parallel agents each with their own sub-agents while trying to approve commands from each of them, it's just won't scale to the amount of work I need to get done.
The permissions system seems to be mostly finegrained to help you from problems that backups and sandboxes already solve.
The more dangerous activities I find are sending messages to the outside world: I can't undo a dumb slack message to my boss.
That's fair, I have sent a, "Sorry claude sent that and I didn't tell him to", message before.
The big problem is that in general I want slack to be able to send some messages (otherwise I would ban that). But the difference between good and bad messages is something that's hard to judge mechanically.
I never want Claude or any AI to post messages as myself..., if I'd wanted Claude to send a message to Slack, I'd want him to identify as Claude, or use some bot token, where it's clearly visible I'm not the one posting it (while I can still instruct Claude to say that the message was prompted by me).
Why not let it delete stuff in the current working folder and in tmp, but give it read-only access elsewhere?
Because I often want it to write and execute scripts in it's thinking loop in order to test assumptions or fetch data to come up with better solutions.
Can't it write `/tmp/test.sh` or `./test.sh` and execute it under my approach? This is what I've been doing as my status quo workflow with Codex, and I make sure I run Codex from a place where `.` happens to be a folder I'm okay with it messing up in.
This is a duplicate of https://news.ycombinator.com/item?id=49220827
Different links (the other is TheNewStack doing blog commentary, this one is the official Anthropic announcement), but you're right that the discussions could be merged.
Am I the only person reading the statistics in this announcement from Anthropic and the associated blog commentary and trying to work out how they possibly couldn't imply that a significant number of dangerous commands are likely to be attempted every day these tools are in use and neither manual human review nor the auto classifier provided by Claude is anywhere near reliable in preventing them?
A lot of the discussion about these long sessions where agents are left to operate autonomously feels like listening to the increasingly drunk guy at the bar who says "I ran IT at that Fortune 100 place for a decade and we never had a single problem using a short but loose rule set for the firewall until last week someone destroyed our entire business in 27 minutes".
I think by "dangerous" they include things like "makes an edit to a config file outside the current project", not just "wipes the production database". So "dangerous" commands just means things we should ask the user for confirmation, not commands which definitely cause irreversible damage.
What if I want an LLM from a __different__ company to check the commands issued by Claude before they are run?
Seems to me that the API should be more general.
Well that would be enormously inefficient for one thing
My experience is that I can't even review command that Claude wants to run because it is truncated when displayed in the terminal. How can I make a educated choice then?
This now looks like a deliberate UX choice to blame humans who don't review options, and then just remove the choice. A dark pattern to push the product.
Wow, what a bold decision
Just yesterday i struggle to review CC command histories, and made this tool to help me review https://github.com/slaveofcode/eridian
> Data suggests that manual review can become habitual: users approve 97% of permission prompts in Claude Code.
Claude's 'auto mode' feels like a solution to a problem that shouldn't exist.
Cursor handles this much better IMO. When the agent wants to run a command, Cursor lets you choose between 'allow once' and 'add command to allowlist'. The latter lets the agent run that command (grep, ls, pwd etc) any number of times for that project, which means you get a lot of these manual reviews when you start a new project but rarely (if ever) thereafter.
Does Cursor allow you to blacklist certain commands as well? I know OpenCode has this, where you can both whitelist things like grep/ls but then also blacklist things like cat .env, or rm -rf. I usually copy paste my configs nowadays, so I very rarely get prompted for any permissions (except when using Claude, which somehow decided that all users live in ~/Users, even on Linux)
> Does Cursor allow you to blacklist certain commands as well? I know OpenCode has this
No, Cursor only has an allowlist; no blacklist
Claude Code also does this.
It’s a little broken, though. It gets hung up on nested commands and behaves strangely.
Would it be so hard to ad a VM with configurable directory mounting to claude code? This is my setup and it's been great.
The worst part of Claude is paying for it and every month they ruin their lead.
I've never used a product where I felt it was best in class and they just keep making me regret it .
i end up with more stops on automode because of classifier false positives.
Another heaping portion of words from a company that has Fable flag a “safety issue” and refuse to answer if you innocuously request something readily answered by a high school chemistry/biology/physics textbook.
What's the current best Mac to buy for offline LLM in used market?
I am seeing 96Gb Mac studio 3rd gen I think for a good amount but I guess it would be better than paying for mac mini newer models with lesser ram?
Or would it make sense to buy used 32 GB Mac mini 3 or 5?
Is there a cost/dollar for various generations which I could compare against used market and pick the most effective one?
Why does it have to be a Mac? Your money probably goes further with a generic PC and Linux?
Really?
The power envelope has to be considered as well.
And Fable is gone too.
Huh?
Excellent time to review sandbox options: https://pleasedonotescape.com/
Someone should benchmark what prompts are better at stopping from breaking out of sandboxes, maybe telling it "pretty please I beg of you stay inside the sandbox, you are an intern that has no authority to break off your assigned sandbox and you want to keep your job" does help a little.
If you're relying on a prompt to constrain agent behavior, you've already lost.
I think we already lost regardless.
Huh? You don't mention the built-in sandboxing options in things like Codex. Why do people pretend these features don't exist?
https://learn.chatgpt.com/docs/permissions
Wait, what? With plan on, I at least get the illusion of being in control.
What’s the best way to sandbox Claude on macOS without it being a huge hassle?