Who it is forTeam lead who does not trust a model to score its own output
The problemIf the same vendor's model both runs and grades the agent, blind spots can go unnoticed.
The outcomeAn audit graded by a separate vendor's judge (or a multi-judge ensemble), giving a more independent score.
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 extras for both the tested and judge providers, e.g. pip install "ifixai[openai]"
- Run ifixai setup and pick a self, single independent vendor, or ensemble judge
- Run: ifixai run --dry-run to inspect the call estimate first
- Run: ifixai run and compare the scorecard to a self-graded run if you have one
Prompt for your agent
Use ifixai-ai/iFixAi to audit <my agent> with <vendor A> as the tested model and <vendor B> as the judge. Do a --dry-run first, then a full run, and note any category where the independent judge scored lower. Verify the judge vendor in the report matches what I chose.
Caveat. Using a second vendor means a second API key and added model-call cost on top of the tested model.
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
- 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.
- Fail your CI build when an agent audit regresses Script the audit with explicit CLI flags so every release is graded and the report is saved as an artifact.
- 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