Individual skill

squidbrake

Set up Squidbrake, which checks every command and tool call an AI agent makes against rules (risky ones wait for a person, rm -rf ~/ never runs), and respond correctly when Squidbrake blocks or holds an action. Use when the user wants guardrails, approvals or an audit trail for their coding agents, or when a tool call comes back blocked or waiting for approval from Squidbrake.

skills/squidbrake/SKILL.md

Read pinned source

Source commit f53ec5129445c3dd023d59851d81b7fa2e1a1b9f

What was checked

Matches the observed repository HEAD: Yes
Scanner rules are current: Yes
Repository scan complete: Yes
Skill scan complete: Yes
Observed behavior: Network or broad shell
Last checked: Nov 6, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings): 19
Repository last updated: Nov 5, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai-agents Repository topic
ai-safety Repository topic
approval-workflow Repository topic
audit-log Repository topic
claude-code Repository topic
fastapi Repository topic
human-in-the-loop Repository topic
llm-security Repository topic
mcp Repository topic
model-context-protocol Repository topic
engineering Derived category
security Derived category

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files

SKILL.mdcore · 2,557 bytes

Read excerpt


# Squidbrake

Squidbrake is a gateway between AI agents and the machine. Every command, file edit, read and MCP tool call is
checked against `rules.yaml` before it runs: safe ones run, dangerous ones are blocked, and risky ones wait until
a person approves them in the dashboard, on their phone or in Slack. Everything is recorded in a tamper-evident
audit trail. Source: https://github.com/batrapulkit/squidbrake

## Setting it up for the user

Ask before running these: `connect all` changes the user's agent configs (each one is backed up first).

1. Install: `pipx install squidbrake` (or `pip install squidbrake`).
2. Connect every agent on this computer: `squidbrake connect all`. It finds Claude Code, Cursor, Codex, Gemini CLI,
   VS Code Copilot and Antigravity, plus the MCP servers they use. The first time, it prints the dashboard's admin