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AI USE CASES

How to test an agent's permission boundaries before granting it delete access with iFixAi

Point the audit at your agent's endpoint to see whether it respects role limits before you widen its powers.

Seen in the wild

Evidence: X, Oct 2026 · X, Oct 2026

Similar to what people reported. The steps and prompt below are AI written, not copied from those posts.

Who it is forEngineer about to give an internal agent write or delete rights on real systems

The problemMost agent testing checks answers and never checks whether the agent stays within what it is allowed to do.

The outcomeEvidence on whether the agent's permission-related checks pass, so you can decide to grant or withhold access.

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

  1. Install the extra for your setup: pip install "ifixai[openai]"
  2. Run ifixai setup and choose your agent's real endpoint
  3. Run: ifixai run
  4. Review the permission and policy categories in the scorecard before changing any access

Prompt for your agent

Use ifixai-ai/iFixAi against my agent's HTTP endpoint <endpoint URL> to check whether it respects role and permission limits. Report the permission-related check results from ./ifixai-results/ and verify which checks failed before I grant it delete rights.

Caveat. A passing audit is not proof of safety; it is one independent check, so keep human approval on destructive actions.

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

See all use cases for ifixai-ai/iFixAi

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