DEDUPEDWho it is forPlatform or DevOps engineer who ships agent changes weekly and wants a repeatable policy check
The problemPrompt or tool changes can quietly break permission rules, and nobody notices until production.
The outcomeA scripted, flag-driven audit run in CI that writes JSON and Markdown reports for every change.
What you need first
- Python 3.10+
- An API key for the model provider you want to test or to act as judge (the engine is free, model calls cost extra)
- An agent or model endpoint to audit (any supported provider, or your agent's own HTTP endpoint)
- Optional: uv, only for the zero-install skill route
Steps
- Install the provider extra in your CI image: pip install "ifixai[anthropic]"
- Export the provider API key as an environment variable in CI secrets
- Run an explicit-flag audit (see the Explicit flags section of the README for the exact options)
- Upload ./ifixai-results/ as a build artifact and fail the job on a low grade
Prompt for your agent
Add an ifixai-ai/iFixAi audit step to the CI config in <repo path>, using explicit CLI flags and an API key from secrets. Save the reports from ./ifixai-results/ as an artifact. Verify with a --dry-run that the step works before enabling it.
Caveat. The README's explicit-flag example was cut off in the text provided, so check the repo docs for the exact flag names before wiring up CI.
About iFixAi
An auditing tool that checks whether an AI agent is doing what it is supposed to do. Part of this week's top 10 repos: ranked #10 on Repo Radar. View ifixai-ai/iFixAi on GitHub.
More with iFixAi
- Have a different vendor's model judge your agent's behavior Choose an independent judge so the agent is not grading its own homework.
- Grade a new AI agent against your business rules before launch Run a short audit that scores whether your agent follows your roles, policies and permissions.
- Let Claude Code or Codex run the audit and explain the results Install the plugin and ask in plain English; the agent builds the fixture, runs it and walks you through the scorecard.
- Quickly grade a coding agent on whether it does the job it should Run the short default suite on a coding agent to get a fast pass/fail picture in about two minutes.
- Test an agent's permission boundaries before granting it delete access Point the audit at your agent's endpoint to see whether it respects role limits before you widen its powers.
- Add an audit slash command to Cursor, Gemini or Zed in one step Scaffold a native /ifixai-skill command into the coding agent you already use, no plugin needed.
- Find harmful chains of allowed actions with Policy Lab Use the offline Policy Lab to find the shortest harmful sequence of permitted actions and test permission fixes.
Disclaimer
Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page