audit

Audit corrections/rules.md to classify and promote learned rules into CLAUDE.md.

8|5|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/shenxingy/Clade --skill audit-shenxingy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: audit
Source: https://github.com/shenxingy/Clade/tree/main/configs/skills/audit
Command: npx skills add https://github.com/shenxingy/Clade --skill audit-shenxingy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents your learned correction rules from staying trapped in corrections/rules.md by auditing them for maturity, redundancy, and contradictions so they can be promoted into CLAUDE.md or hooks.

Core Features & Use Cases

  • Improvement-trend visibility: Computes recent effectiveness trends from scorecards.jsonl to show whether the learning system is improving.
  • Rule quality classification: Categorizes rules as PROMOTE, REDUNDANT, CONTRADICT, INEFFECTIVE, KEEP, or CROSS-PROJECT based on stability, effectiveness, clustering, and conflicts with existing configuration.
  • Automated promotions & cleanup: Automatically appends mature rules into the correct section of CLAUDE.md (or creates Auto-Promoted Rules) and removes promoted/redundant rules from corrections/rules.md.

Quick Start

Run the audit skill to review corrections/rules.md and automatically promote stable rules into your CLAUDE.md.

Frequently Asked Questions about audit

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

FAQPage Schema
How do I promote learned correction rules into CLAUDE.md automatically?▼

Rule quality classification evaluates learned rules against stability, effectiveness, and domain clustering, then labels them as PROMOTE, REDUNDANT, CONTRADICT, INEFFECTIVE, KEEP, or CROSS-PROJECT based on their performance data.

How do I detect contradictory rules in my configuration management system?▼

Cross-project recurrence detection works by analyzing optional cross-project recurrence logs alongside your rules, identifying stable rules that recur across different projects, and classifying them as CROSS-PROJECT for broader promotion.

Can I audit learned rules in both project scope and global scope?▼

Yes, rule auditing supports both project scope and global scope modes. This allows you to manage meta-learning, rule clustering by domain tags, and safe automated promotions with timestamp updates at whichever scope your project requires.

How do I clean up redundant correction rules from rules.md?▼

Cleaning up redundant correction rules is automated by the audit skill. It identifies REDUNDANT rules during the review process and automatically removes promoted or redundant entries from corrections/rules.md to keep the learning system efficient.