rich-audit

Audit Claude Code configuration and Python/ML projects, then generate repair and evolution plans.

1|Updated May 17, 2026
One-click install
npx skills add https://github.com/mykcs/myk-skills --skill rich-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rich-audit
Source: https://github.com/mykcs/myk-skills/tree/main/rich-audit
Command: npx skills add https://github.com/mykcs/myk-skills --skill rich-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

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.

Frequently Asked Questions about rich-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit Claude Code configuration for drift across rules and memory indexes?

A Claude Code configuration audit detects drift by running deterministic mechanical checks across rules, memory indexes, skills/symlinks, and hooks, generating structured JSON reports with severity scores and remediation action items.

How do I fix MEMORY.md and filesystem inconsistencies in Claude Code?

Fixing MEMORY.md inconsistencies requires memory alignment verification to detect phantom, missing, or mem0 gaps between the memory file and the case-file filesystem, applying safe optional auto-fixes and generating case templates when needed.

Can I audit Python and ML project dependencies alongside Claude Code setup?

Yes, dual-mode auditing supports checking Python and ML project health alongside Claude Code configuration to catch dependency risks, version mismatches, and completeness gaps within the same pipeline.

What is the best way to repair and evolve Claude Code rules and hooks safely?

The best way to repair and evolve Claude Code rules and hooks is a three-layer pipeline that applies targeted safe auto-fixes after auditing, then generates an evolution plan using fresh external references and parallel agent orchestration.

Does Claude Code symlink consistency checking require external scanning tools?

Symlink consistency checking itself relies on deterministic mechanical checks, but the audit pipeline enforces mandatory post-audit external scanning to gather best practices and generate a safe evolution plan for your setup.