What problem does it solve?
rich-audit eliminates configuration drift and quality issues in your Claude Code + memory ecosystem by running a structured audit, applying safe repairs, and then proactively evolving your setup with external best practices.
Core Features & Use Cases
- Three-layer pipeline (Audit → Fix → Evolve): Performs integrity/security/consistency checks, runs targeted safe auto-fixes, and then upgrades the plan using fresh external references.
- Dual-mode auditing: Audits Claude Code configuration and (when applicable) Python/ML project health to catch dependency risks, version mismatches, and completeness gaps.
- Memory alignment verification: Detects and fixes phantom/missing/mem0 gap between MEMORY.md and the case-file filesystem, including case template generation when needed.
- Parallel agent orchestration: Runs independent audit and evolve subtasks in parallel while enforcing correct ordering for repair-dependent steps.
Quick Start
Ask it to run rich审计 to produce a full audit report, apply safe mechanical repairs, and generate an evolution plan with external search evidence.