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fmindfmind/dotfiles/skills/code-security/SKILL.md

code-security

Skill13 starsChanged 4 days agoMITView on GitHub

Review code security, threat-model designs, vet third-party skills, red-team AI apps with PyRIT, and scan with Betterleaks and Trivy.

5 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 1

    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:

    Read only the matching guide and its required resources.

    line 19

“Common” is measured: kept by at least 6 in 10 of the 3 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

Code Security

Investigate and fix security defects with evidence. Choose code review, threat modeling, AI red teaming, third-party skill review, secret scanning, or vulnerability scanning from the task; findings need verification and scanners do not replace reasoning. The name deliberately avoids security-review, which Claude Code and Copilot CLI ship as a built-in command.

Workflow

Read only the matching guide and its required resources.

Task guides

<!-- guides:start -->
  • ai-red-team: Red-team AI apps and agents with PyRIT: prompt injection, tool misuse, and agent authority.
  • betterleaks: Scan the working tree and history for secrets; handle confirmed exposure.
  • code-review: Assess code and repository security; verify findings and repairs.
  • skill-security-review: Review third-party skills and agent extensions for supply-chain risk.
  • threat-model: Model attack paths, trust boundaries, abuse cases, and controls.
  • trivy: Scan dependencies, IaC, images, and licenses; generate SBOMs.
<!-- guides:end -->

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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