agent-kill-switch
GitHub提供AI代理的停止开关、成本监控及高危操作审批功能,基于ClawMetry实现本地会话管理与安全防护。
Trigger Scenarios
Install
npx skills add vivekchand/clawmetry --skill agent-kill-switch -g -y
SKILL.md
Frontmatter
{
"name": "agent-kill-switch",
"license": "MIT",
"metadata": {
"author": "vivekchand",
"source": "https:\/\/github.com\/vivekchand\/clawmetry",
"homepage": "https:\/\/clawmetry.com"
},
"description": "Give the human an off switch and a cost meter for the coding agents on this machine, using ClawMetry. Use when the user asks to stop or kill a runaway agent, see what an agent is doing or spending, cap agent spend, gate risky tool calls behind approval, or \"set up a kill switch\" for Claude Code, Codex, Cursor, Gemini CLI, OpenClaw, Goose, Aider and similar runtimes."
}
Agent kill switch
An agent that loops, re-reads the same files, or shells out to something it should not is expensive by the minute. This skill wires up ClawMetry, a local, read-only dashboard that reads the session logs the runtimes already write on disk, and uses it for three things: see what is running, stop one session, and hold risky tool calls until a human says yes.
Nothing here modifies the agent. Observation is read-only. Every control below is opt-in and stated as what it does, so tell the user exactly which ones you enabled.
1. Install and start
pip install clawmetry && clawmetry
The dashboard is at http://localhost:8900. It auto-detects the runtimes on
the machine (Claude Code, Codex, Cursor, Gemini CLI, OpenClaw, Goose, Aider,
Cline, OpenCode and others); no config. Confirm it is up:
curl -s http://localhost:8900/api/overview | head -c 400
If the port is taken: clawmetry --port 8901 and use that port below.
2. See what is running and what it costs
curl -s http://localhost:8900/api/sessions # live and recent sessions, ids look like claude_code:<uuid>
curl -s http://localhost:8900/api/usage # tokens and cache-aware cost per model and per session
Tell the user in plain words: which sessions are active, which one is spending the most, and whether any is showing loop signs. The dashboard's Sessions tab shows the full transcript and every tool call for a session.
3. Stop one session (the off switch)
curl -s -X POST http://localhost:8900/api/sessions/<session_id>/stop
200with"ok": trueand apid: the session's process received SIGTERM.409with"ok": false: ClawMetry could not identify a process for that session, for example a Cursor editor conversation, which shares the IDE process. Say so instead of claiming it was stopped.
Never call this on your own initiative. Only when the user asks to stop a session, and confirm which session id first.
4. Hold risky tool calls until a human approves (Claude Code)
clawmetry hooks install # adds a PreToolUse hook to ~/.claude/settings.json, idempotent
clawmetry hooks status
Then one policy gates everything ClawMetry scores high or critical
(recursive deletes, force pushes, sudo, credential files, reverse shells,
cloud metadata endpoints):
# ~/.clawmetry/policies.yml
- name: 'Require approval for high-risk actions'
min_risk: 'high'
action: 'require_approval'
timeout: 604800
on_timeout: 'deny'
A deny blocks that one call; the agent keeps its session. Approvals can be
answered from the Approvals tab or, with cloud sync, from a phone push.
Undo with clawmetry hooks uninstall (removes only ClawMetry's entries).
5. Cap spend for agents that call the API with a key
clawmetry proxy start --daily-budget 10
export ANTHROPIC_BASE_URL=http://localhost:4100/v1 # or OPENAI_BASE_URL for OpenAI-backed agents
When the cap is hit the proxy returns BUDGET_EXCEEDED instead of forwarding
the request. It also detects repeated near-identical requests (loops). This
only covers agents whose traffic you route through it; say that.
Honest limits
- OpenClaw and NemoClaw are free in the open-source app. The other runtimes, and the approvals feature, need ClawMetry Cloud or a self-hosted Pro license after the trial. Tell the user before enabling those.
- The stop in step 3 is SIGTERM to a process ClawMetry can identify. It is
not a guarantee for every runtime; the
409is the honest answer. - Data stays on the machine unless the user runs
clawmetry connect, which enables end-to-end encrypted cloud sync.
Remove
clawmetry hooks uninstall
clawmetry proxy stop
pip uninstall clawmetry
Version History
- f523722 Current 2026-09-09 02:27


