An automated AI agent that audits source code for security vulnerabilities, quality issues, and gas optimizations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-auditor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install code-auditor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Code Auditor is a specialized tool within the Openclaw Skills ecosystem designed to perform deep analysis on source code. It allows developers to provide a GitHub repository URL or raw code snippets to receive a comprehensive report on security posture, coding standards, and efficiency. By leveraging advanced LLMs, it identifies critical vulnerabilities and provides actionable fixes.
This skill streamlines the code review process by automating the discovery of hardcoded secrets, injection vulnerabilities, and suboptimal patterns. Whether you are prepping for a production launch or evaluating a third-party library, integrating these Openclaw Skills into your workflow ensures higher code integrity and reduced risk.
To use this skill, ensure you have an active spend token from AIProx. Configuration involves setting your environment variable for authentication.
export AIPROX_SPEND_TOKEN="your_token_here"
You can then make requests via a standard curl command:
curl -X POST https://aiprox.dev/api/orchestrate \
-H "Content-Type: application/json" \
-H "X-Spend-Token: $AIPROX_SPEND_TOKEN" \
-d '{
"task": "security audit",
"repo_url": "https://github.com/user/repo",
"focus": "security"
}'
Code Auditor generates a structured report reflecting the health of the repository. The data is organized into clear metrics and actionable objects.
| Field | Description |
|---|---|
| score | A numerical value (0-100) representing overall code health. |
| findings | An array of objects including severity, file path, line number, and fix. |
| severity_counts | A summary tally of critical, high, medium, and low issues. |
| summary | A human-readable narrative explaining the primary concerns found. |
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