Security Audit Skill for AI Agents: 16-Dimension Posture Check

Where this fits

You're a developer who just finished a sprint and needs to prep for a SOC 2 review. Your CI pipeline runs tests, but nobody has time to manually walk through auth flows, dependency risk, and crypto usage. You ask your coding agent to "check our security posture"—it flails, producing generic advice that misses your stack's specifics. That's where ai-assist-security-audit steps in: it gives your agent a structured, senior-engineer-style playbook for comprehensive security assessment, from code vulnerabilities to supply chain integrity, and outputs a ranked, actionable report you can hand to your auditor.

Why agents benefit

• Structured reasoning: The skill enforces a 16-dimension checklist (auth, crypto, privacy, infra, etc.) so the agent doesn't fixate on one area and ignore systemic issues.
• CWE/CVE-linked findings: Every issue is mapped to real-world exploit classes, making the output traceable and useful in vulnerability tracking.
• Health scoring and remediation: Instead of a list of problems, the agent produces a numeric posture score and a prioritized remediation plan—perfect for sprint planning.
• Adaptive activation: The skill triggers only when security is actually relevant (e.g., during audit prep), avoiding noisy over-analysis in routine tasks.
• Context awareness: It checks AGENTS.md and active specs to align with your project's security conventions and architecture.

Practical scenarios

Pre-audit compliance sweep Before a SOC 2 or HIPAA review, the agent runs the full audit across your repo. It flags missing encryption at rest, improper session handling, and outdated dependencies—each with a CWE reference and a severity rank. You get a one-page summary to share with your auditor.

Code review for a new feature You've just added a payment module. You tell the agent to audit the payments/ directory focusing on auth and crypto. The skill scopes itself, checks for hardcoded secrets, weak key exchange, and missing input validation, then suggests fixes with code snippets.

Supply chain risk evaluation Before a release, you ask for a dependency health check. The skill reviews your lockfile, identifies known vulnerable packages (CVEs), and proposes version upgrades or mitigations—all while staying inside your agent's context window.

Add it to your agent workflow

Install via the skills CLI:

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-security-audit

Once installed, invoke it naturally. For example, inside your agent's conversation:

Run a security audit on the auth module, focusing on session management and password hashing. Output a health score and top 3 remediation steps.

The skill will read your project context, perform the 16-dimension check, and respond with a severity-ranked report.

Compare before adopting

Before you commit, benchmark against other security skill options. Look at how fresh the skill's maintenance is (check last commit date and issue resolution), how well it covers your specific stack (Node vs. Python, cloud vs. on-prem), and whether its output format aligns with your reporting needs. Also evaluate whether the skill's adaptive activation actually reduces false positives in your normal dev loop.

Why it is worth tracking

With 88 stars and an active repo, this skill shows real community traction. It's not just a static checklist—it's a live approach to embedding security engineering into agent workflows. Track it if you regularly ship code that must meet compliance standards or if you want your agents to stop giving vague security advice. You can find the full skill spec and community discussions at OpenAgentSkill. Evaluate it on a side project first, then roll it into your production pipeline once you see the quality of the findings.