Security Best Practices

What This Skill Does

The Security Best Practices skill provides OpenClaw with a formal, systematic framework for conducting code audits and implementing secure development lifecycles. It shifts the focus from theoretical vulnerabilities to concrete, exploitable risks within your specific codebase. By utilizing structured memory files, the agent maintains consistent context across sessions, tracking exceptions, findings, and established security baselines. The skill forces a rigorous evidence-based approach, requiring line-level references and clear threat models before suggesting any remediation. It ensures that security enhancements do not break existing functionality by mandating regression checks and minimal-diff strategies.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/security-best-practices. After installation, initiate the first-time setup by triggering the skill; the agent will prompt you to initialize the ~/security-best-practices/ directory, which houses your memory.md, findings-log.md, and exceptions.md files for persistent tracking.

Use Cases

This skill is ideal for teams undergoing security hardening, conducting post-mortem vulnerability assessments, or enforcing organizational security standards. It excels at triaging legacy codebases, reviewing pull requests for injection flaws (SQLi, XSS, Command Injection), and validating dependency security. Developers can use it to maintain an exceptions.md file for legacy code that cannot be immediately patched, ensuring that security debt is tracked rather than ignored. It is also a powerful tool for on-boarding new code modules, ensuring they adhere to the repository's established authentication and authorization patterns.

Example Prompts

1. "Perform a security review of src/auth/jwt_handler.py focusing specifically on token validation logic and potential timing attacks."
2. "We have a known vulnerability in the legacy payment module. Please analyze the code, record the risk in exceptions.md with a review date of 3 months from now, and suggest a hardening plan."
3. "Analyze our current input sanitization patterns across all API endpoints and identify any paths where untrusted user input reaches the database without parameterization."

Tips & Limitations

To get the most out of this skill, ensure your documentation is up to date. The agent's effectiveness is heavily tied to the quality of the review-playbook.md file you provide. Remember that this tool is an assistant; while it is designed to catch high-impact, exploitable risks, it does not replace professional penetration testing or deep architectural security reviews. Always verify the suggested minimal-diff fixes in a staging environment before deploying to production. Avoid feeding the agent entire monolithic repositories at once; instead, scope reviews to specific modules or functional areas to maximize accuracy.