iFixAi is an independent auditing toolkit for evaluating whether an AI agent performs the business job it was assigned. Instead of measuring only latency, token use, or prompt-injection resistance, it examines operational behavior, organizational alignment, and task outcomes. A standard run performs 32 inspections across five evaluation pillars and produces an A-to-F grade. Users can configure and launch audits through a guided CLI, explicit command flags, or an agent plugin and skill. The same engine can test hosted providers or a real agent endpoint and can use self-grading, an independent judge, or a multi-judge ensemble. Results are delivered as JSON, Markdown, and terminal scorecards for review or automation. Saved configuration supports repeatable local runs, onboarding, and CI workflows.

Features

  • Thirty-two AI agent inspections
  • Five-pillar operational evaluation framework
  • A-to-F grading and detailed scorecards
  • Guided, scripted, and agent-operated audits
  • Independent and multi-judge evaluation modes
  • JSON, Markdown, and terminal reports

Project Samples

Project Activity

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Categories

AI Agents

License

Apache License V2.0

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Additional Project Details

Operating Systems

Windows

Programming Language

Python

Related Categories

Python AI Agents

Registered

4 days ago