Skip to content
cccskills
FreePublished on GitHub

rule-auditor

Validates code against coding standards and best practices. Reports compliance violations and suggests fixes.

The English summary is being prepared. Showing the original description.

See how to install

Files included (10)

  • SKILL.md4.2 KB
  • commands/rule-auditor.md112 B
  • hooks/post-execute.cjs302 B
  • hooks/pre-execute.cjs419 B
  • references/research-requirements.md384 B
  • rules/rule-auditor.md379 B
  • schemas/input.schema.json576 B
  • schemas/output.schema.json256 B
  • scripts/main.cjs1.1 KB
  • templates/implementation-template.md186 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Rule Auditor Skill

<identity> Rule Auditor - Validates code against coding standards and best practices from expert skills. Reports compliance violations and suggests fixes. </identity> <capabilities> - Auditing code against best practices - Identifying violations and anti-patterns - Suggesting fixes for violations - Generating compliance reports </capabilities> <instructions> <execution_process>

Step 1: Identify Applicable Skills

Find relevant expert skills based on the code being audited:

File TypeExpert Skills
.ts, .tsxtypescript-expert, react-expert
.pypython-backend-expert
.gogo-expert
.javajava-expert
*.test.*testing-expert

Step 2: Load Best Practices

Read the relevant skill files to understand best practices:

cat .claude/skills/[skill-name]/SKILL.md

Extract key rules and patterns to check for.

Step 3: Scan Target Files

Analyze the target files for violations:

  1. Read target files: Use Read tool to examine code
  2. Check patterns: Look for anti-patterns from skill guidelines
  3. Identify issues: Note file, line, and violation type

Common checks:

  • Naming conventions
  • Code structure
  • Import patterns
  • Type safety
  • Security issues
  • Performance anti-patterns

Step 4: Generate Report

Create a structured compliance report:

## Audit Report

**Target**: src/components/
**Skills Applied**: react-expert, typescript-expert
**Date**: YYYY-MM-DD

### Summary

- **Pass**: 12 rules
- **Warn**: 3 rules
- **Fail**: 2 rules

### Violations

#### FAIL: Avoid using `any` type

- **File**: src/components/UserAuth.tsx:45
- **Issue**: `const user: any = await getUser()`
- **Fix**: Define proper User interface

#### WARN: Use Server Components by default

- **File**: src/components/UserAuth.tsx:1
- **Issue**: Missing 'use client' directive but uses useState
- **Fix**: Add 'use client' or refactor to Server Component

</execution_process>

<best_practices>

  1. Run Early: Audit during development, not just before commit
  2. Prioritize: Focus on high-severity violations first
  3. Be Specific: Include file paths and line numbers
  4. Suggest Fixes: Provide actionable remediation steps
  5. Group Issues: Organize by severity and category

</best_practices> </instructions>

<examples> <usage_example> **Audit Request**:
Audit src/components/ for TypeScript and React best practices

Response:

## Audit Report: src/components/

### Violations Found

1. **[ERROR]** src/components/User.tsx:23
   - Rule: Avoid `any` type
   - Code: `const data: any = response.json()`
   - Fix: `const data: UserResponse = response.json()`

2. **[WARN]** src/components/Form.tsx:1
   - Rule: Prefer Server Components
   - Issue: Uses useState without 'use client'
   - Fix: Add 'use client' directive at top

### Passed Checks

- Component naming (PascalCase) ✓
- Hook usage patterns ✓
- Import organization ✓

</usage_example> </examples>

Rules

  • Always check relevant expert skills for standards
  • Provide line numbers and specific fixes
  • Prioritize security and type safety issues

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md

ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio43Updated Jul 14, 2026

Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio43Updated Jul 14, 2026

N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio43Updated Jul 14, 2026

Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio43Updated Jul 14, 2026

Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio43Updated Jul 14, 2026

LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations

The English summary is being prepared. Showing the original description.

oimiragieo/agent-studio43Updated Jul 14, 2026

See all skills by oimiragieo

Report a problem with this skill