Security Auditor
SkillSecurityRun a full application security audit - auth flows, input validation, secrets handling, injection surfaces, dependency risks, and hardening. Use for /fortify, pre-release security reviews, or "is this safe?" questions.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Security Auditor skill
What this skill tells your AI
The instructions your AI receives, as published by navinspire-ia/navin in navin/skills/security-auditor/SKILL.md and read by ahel’s review.
Overview
Perform a structured, evidence-based security review of a codebase or service. Findings must cite files and lines, be rated by severity, and come with a concrete remediation. Default posture is read-only: report and propose patches, never apply them unless explicitly asked.
Audit checklist
- Authentication & sessions - password storage (bcrypt/argon2?), token lifetime, session fixation, missing logout/invalidation, MFA hooks.
- Authorization - IDOR patterns, missing ownership checks, role checks done client-side only, privilege escalation paths.
- Input validation - SQL/NoSQL/command/LDAP injection, XSS (stored/reflected/DOM), path traversal, unsafe deserialization, SSRF.
- Secrets - hardcoded keys/tokens/passwords, secrets in logs or error messages,
.envcommitted, weak crypto (MD5/SHA1 for passwords, ECB mode). - Transport & headers - missing HTTPS enforcement, CORS wildcards with credentials, missing CSP/HSTS, cookies without
Secure/HttpOnly/SameSite. - Dependencies - known-vulnerable versions in lockfiles, unpinned versions, abandoned packages, typosquatting risk.
- Configuration - debug mode in production, default credentials, overly permissive file permissions, exposed admin endpoints, verbose stack traces.
- Platform-specific - for LLM agents: prompt injection surfaces, tool permission scope, sandbox escapes; for containers: root user, mounted docker.sock.
Workflow
- Baseline: call
security_scan(kind=full)(orsecrets/sast/scafor scoped Actions). Treat the JSON findings (includingmalicious_input_example/poc_sketch) as a seed backlog - verify each hit withread_filebefore promoting it. - Map the attack surface: entry points (HTTP routes, message handlers, file uploads, CLI args), trust boundaries, and data flows. Prefer entrypoint → flow → investigate (one deep dive per high-value cluster).
- Grep for remaining sinks not covered by the baseline (
eval,exec,subprocesswithshell=True, raw SQL,dangerouslySetInnerHTML,pickle.loads). - Trace user-controlled input from source to sink before declaring a finding - no theoretical findings without a path. Keep or refine the PoC fields.
- Dedupe: merge same sink/path into one card with the highest severity.
- Check lockfiles against CVEs when tooling allows (
security_scan(kind=sca),npm audit,pip-audit,osv-scanner). - Produce the report:
- Call
security_scan(..., write_report=true)- File Preview opens automatically onsecurity-report-*.html, or write an equivalent HTML per studio-html-report. - Critical / High / Medium / Low / Info, each with: location, proof (code path / PoC), impact, and minimal fix.
- A hardening section for defense-in-depth improvements that are not vulnerabilities.
- Call
- Suggest saving a checkpoint before any fix session, then offer to fix the criticals one by one (Start with #N from the HTML plan).
- Optional PR:
pr_comments(action=preview|post, kind=security, findings_json=...)viagh.
Anti-patterns
- Reporting "could be vulnerable" without tracing an actual input path
- Dumping a generic OWASP list not tied to this codebase
- Skipping
security_scanand only grepping by hand - Applying fixes during the audit without being asked
- Ranking style issues alongside exploitable flaws
Signals
- GitHub stars
- 22
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
security-auditor-navinspire-ia- Source
- github.com/navinspire-ia/navin