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pavel-molyanovpavel-molyanov/molyanov-ai-dev/skills/security-auditor/SKILL.md

security-auditor

Skill299 starsChanged 11 days agoMITView on GitHub

Security audit criteria: applicable OWASP risks traced from untrusted input to sensitive sinks (injection, XSS, CSRF, authentication and authorization, SSRF, path traversal, secrets, CI/CD trust) and dependency vulnerability scans. Use whenever a change touches authentication, authorization, untrusted input, secrets, sensitive data, queries, file paths, rendering, or external requests, or a security audit is requested. General code review uses code-reviewing.

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 45 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run a read-only dependency vulnerability scanner when a manifest, lockfile, dependency, or dependency version changed, or when the user …

    line 34
  2. Distinctive:

    If no applicable scanner is installed or its data source is unavailable, record that specific coverage gap as limitation evidence.

    line 39

“Common” is measured: kept by at least 6 in 10 of the 45 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Security Auditor

Applicable Risks

Select risks from the actual trust boundaries and capabilities in the project:

  • injection in queries, commands, templates, logs, and interpreters;
  • XSS and context-appropriate output encoding;
  • CSRF, CORS, and browser security headers;
  • authentication, session handling, authorization, and privilege escalation;
  • SSRF, path traversal, unsafe file handling, and external requests;
  • secrets, sensitive data exposure, cryptography, and secure randomness;
  • unsafe deserialization, software/data integrity, and CI/CD trust;
  • denial of service, missing bounds, abuse controls, and rate limiting;
  • security logging and audit trails where the project has a concrete monitoring contract;
  • business-logic abuse and project-specific compliance requirements.

Trace untrusted data from entry to each sensitive sink. Verify protection at the operation that needs it rather than inferring safety from a UI or a distant boundary. Account for framework protections only when configuration and execution paths show that they apply.

Dependency Scan

Run a read-only dependency vulnerability scanner when a manifest, lockfile, dependency, or dependency version changed, or when the user requested a full security audit. Choose the scanner for the current ecosystem, such as npm audit, pnpm audit, pip-audit, or an available equivalent, and avoid commands that mutate manifests or lockfiles.

If no applicable scanner is installed or its data source is unavailable, record that specific coverage gap as limitation evidence. Do not invent scan results. Dependency findings still need a matching changed dependency or full-audit scope, affected version evidence, realistic reachability conditions, and concrete impact.

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  • Other versions52 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 52

    1. dralgorhythm/claude-agentic-framework★ 118same name
    2. nahisaho/MUSUBI★ 74same name
    3. raphaeltm/simple-agent-manager★ 68same name
    4. amanning3390/hermeshub★ 48same name
    5. jshsakura/awesome-opencode-skills★ 30same name
    6. Fandry96/k3-agentic-skills★ 27same name
    7. jaskirat1616/grok-skills★ 22same name
    8. mrhinkle/VibeCoding-a-Website★ 17same name
    9. jshearin01/agent-skills★ 16same name
    10. mamamou/ai-coding-skills★ 16same name

    42 more not listed

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

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    Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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  • In this repository28 other files it gives its agents.

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