Codex Audit Skill

LIBRARY-FIRST PROTOCOL (MANDATORY)

Before writing ANY code, you MUST check:

Step 1: Library Catalog

• Location: .claude/library/catalog.json
• If match >70%: REUSE or ADAPT

Step 2: Patterns Guide

• Location: .claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.md
• If pattern exists: FOLLOW documented approach

Step 3: Existing Projects

• Location: D:\Projects\*
• If found: EXTRACT and adapt

Decision Matrix

Purpose

Route auditing and debugging tasks to Codex CLI when:

• Autonomous iteration is needed (test-fix-retest loops)
• Sandboxed execution required for safety
• Rapid prototyping without approval overhead

Unique Capability

What Codex Does Better:

• Fully autonomous execution (no approval needed mid-task)
• Sandboxed isolation (no network, CWD only)
• Iterative debugging loops
• GPT-5-Codex optimized for agentic coding

When to Use

Perfect For:

• Automated test fixing
• Code auditing in isolation
• Rapid prototyping of features
• Refactoring with test verification
• Build failure recovery
• Security scanning in sandbox

Don’t Use When:

• Need network access (sandbox disables it)
• Need to access files outside CWD
• Production debugging (use Claude with oversight)
• Complex multi-file coordination

Usage

Basic Audit

/codex-audit "Find and fix all type errors" --context src/

Test Fixing

/codex-audit "Fix failing tests" --context tests/ --max-iterations 10

Prototyping

/codex-audit "Build REST API with CRUD endpoints" --context .

Command Pattern

bash scripts/multi-model/codex-audit.sh "<task>" "<context>" "<task_id>" "<max_iterations>"

Safety Constraints

Memory Integration

Results stored to Memory-MCP:

• Key: multi-model/codex/audit/{task_id}
• Tags: WHO=codex-cli, WHY=audit

Output Format

{
  "raw_output": "Audit findings...",
  "metrics": {
    "files_analyzed": 15,
    "findings_count": 7,
    "fixes_applied": 5
  },
  "context_path": "src/",
  "sandbox_mode": true
}

Handoff to Claude

After Codex audit completes:

1. Findings stored in Memory-MCP
2. Claude agents review findings
3. Apply or escalate based on severity

// Claude agent reads Codex audit
const audit = memory_retrieve("multi-model/codex/audit/{task_id}");
if (audit.metrics.findings_count > 0) {
  Task("Reviewer", `Review findings: ${audit.raw_output}`, "reviewer");
}

Integration with Audit Pipeline

# Phase 1: Theater detection (Claude)
/theater-detection-audit

# Phase 2: Functionality audit (Codex)
/codex-audit "Verify all functions work" --context src/

# Phase 3: Style audit (Claude)
/style-audit