AutonomyCheck — AI Coding Agent Self-Audit
A downloadable tool
Safer autonomy. Less babysitting.
AI coding agents are most useful when they can work without stopping every few minutes — but simply turning off every safeguard is a bad trade.
AutonomyCheck is a lightweight, offline self-audit for developers using Claude Code, Codex, Cursor, and similar coding agents.
Open one HTML file, answer 20 practical questions, and get:
- A weighted workflow-risk score
- Prioritized findings
- Practical recommendations
- A copyable audit report
- A short safe-autonomy guide
What it reviews
AutonomyCheck looks at the parts of coding-agent workflows that most affect safety and day-to-day usability, including:
- Repository and filesystem boundaries
- Recovery and version control
- Secrets and credential exposure
- Sandboxing and execution controls
- Destructive operations
- Network access
- External actions
- Tests and verification gates
- Dependency installation
- Hooks, MCP servers, and plugins
- Permission fatigue
- Logging and auditability
No setup required
- No account
- No installer
- No Python
- No cloud service
- No telemetry
- No network connection required
Extract the ZIP and open AutonomyCheck.html in your browser.
Your answers stay on your machine.
Who it’s for
AutonomyCheck is designed for developers experimenting with increasingly autonomous coding agents who want to reduce unnecessary approval prompts without simply giving the agent unrestricted access.
The goal is straightforward:
High autonomy inside a deliberately small, recoverable, and verifiable boundary.
What it is not
AutonomyCheck is a workflow review aid. It is not penetration testing, security certification, legal or compliance advice, or a guarantee that an AI agent cannot cause damage.
Purchase
In order to download this tool you must purchase it at or above the minimum price of $5 USD. You will get access to the following files:
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