A multidisciplinary AI code audit skill that provides a prioritized, expert-level remediation plan for security, performance, and user experience.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-skills-audit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agent-skills-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Audit Code?
The Audit Code skill enables an AI agent to conduct a comprehensive, two-pass code audit using a panel of specialized expert personas. By integrating this capability through Openclaw Skills, developers can transform standard code reviews into deep-dive investigations that identify critical vulnerabilities, performance bottlenecks, and UX inconsistencies. The process is overseen by a tie-breaker lead who resolves conflicting specialist priorities to produce a single, unified, and actionable report.
This skill is designed for high-stakes environments where security, system integrity, and maintainable engineering are paramount. It goes beyond simple linting by building an invariant coverage matrix and performing cross-review passes to ensure that every mutating path—from HTTP routes to background cron jobs—is scrutinized against professional standards.
Audit Code Use Cases
- Conducting deep security and vulnerability assessments before major production releases.
- Stress-testing codebase performance and identifying bottlenecks in APIs and infrastructure scripts.
- Evaluating UX and DX consistency across complex frontend and backend product flows.
- Generating risk-ranked remediation plans for technical debt or legacy system migrations.
- Performing a multidisciplinary audit on PR diffs to ensure high-quality standards within Openclaw Skills workflows.
How Audit Code Works
- Build Context: The agent analyzes the code scope, product flows, and runtime environment to identify entry points and high-risk operations.
- Invariant Matrix Mapping: Critical data-link, auth lifecycle, and input invariants are mapped across all mutating paths to ensure consistency.
- Specialist Pass 1: Five distinct expert roles (Security, Performance, UX, DX, and Edge Case) perform independent, role-specific analyses.
- Tie-Breaker Reconciliation: A lead persona resolves disagreements, merges overlapping findings, and sets severity levels.
- Cross-Review Pass 2: Specialists reassess the codebase based on the edge-case findings and evaluate the effectiveness of proposed mitigations.
- Final Reporting: The agent generates a comprehensive document featuring prioritized findings, evidence-based file references, and a remediation plan.
Audit Code Setup
To utilize this skill, ensure that your environment includes the necessary reference documents. The skill relies on an external framework for standardized reporting.
# Add the skill to your agent configuration
openclaw skills add audit-code
# Ensure the audit framework reference exists
mkdir -p references
cp templates/audit-framework.md references/audit-framework.md
Audit Code Data Schema & Taxonomy
The Audit Code skill organizes its output into a structured format to facilitate rapid remediation and verification within the Openclaw Skills ecosystem.
| Component | Description |
|---|---|
| Findings | A prioritized list of validated issues including severity, blast radius, and confidence levels. |
| Evidence | Concrete file references and line numbers associated with each identified issue. |
| Invariant Matrix | A map of critical system rules against every mutating path and background job. |
| Remediation Plan | Actionable fixes categorized by priority, owner type, and verification tests. |
| Verification | Specific regression tests or checks suggested to confirm the resolution of high-impact findings. |
Audit Code Advanced Features
- Multi-agent expert panel simulation for multidisciplinary code analysis.
- Automated invariant coverage matrix to detect parity gaps across equivalent API paths.
- Specialized runtime heuristics optimized for Bun and SQLite stacks.
- Two-pass review logic to catch residual risks triggered by proposed architectural changes.
- Conflict resolution management via a dedicated Tie-Breaker Lead persona within Openclaw Skills.
SKILL.md
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