Project overview
Maat audits strategy reports, M&A memos, market analyses, RAG knowledge bases, prompt libraries, and other business artifacts shaped by AI. It checks whether strategic claims can be traced to evidence, whether uncertainty was lost, whether authority is being faked, and whether counter-analysis is missing. The result includes an executive verdict, principle-by-principle findings, risky claims, a reconstructed prompt, and a machine-readable 0–10 score.
Repository facts
- Primary language
- Not detected
- License
- Not publicly identified
- Repository updated
- Apr 28, 2026
- Default branch
- main
Resource types
General skill
Use cases
Document productivityFinance, legal and compliance
Platforms
Claude Code, Codex, and more
Runtime
Local
Capabilities
Verification and evals
Audience
General users