vuln-scan
Skill4 starsChanged 7 months agoGPL-3.0View on GitHub
Run vulnerability scans during local development to find critical and high-severity issues before they reach production. Use this skill whenever the user asks to: scan for vulnerabilities, audit dependencies, check for CVEs, find security issues in their code or containers, scan a Docker image, check Kubernetes manifests for security misconfigurations, look for hardcoded secrets or leaked credentials, or run any kind of security check on their project. Also trigger when the user says things like "is this safe to deploy?", "check my dependencies", "any security issues?", or "run a security scan". Covers: Node.js/npm, Python/pip, Go, Java/Maven, Docker images, Kubernetes manifests, and secrets detection.
- Pipes a download into a shell
- Reads credentials
- Installs packages
9 other projects use a version of this.
Adopted by
Most recently taken up by
- Q00/ouroborostheir own version, first seen Oct 25, 2026
- air-gapped/skillstheir own version, first seen Oct 19, 2026
- jaskaranhundal/usap-skillstheir own version, first seen Sep 5, 2026
- epicsagas/epic-harnesstheir own version, first seen Sep 4, 2026
- vodolaz095/go-mcp-smtptheir own version, first seen Aug 15, 2026
- scadastrangelove/rust-in-peacetheir own version, first seen Aug 3, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- anthropics/defending-code-reference-harness★ 7.5ksame name
- Q00/ouroboros★ 6.3ksame name
- scadastrangelove/rust-in-peace★ 25same name
- epicsagas/epic-harness★ 20same name
- air-gapped/skills★ 6same name
- jaskaranhundal/usap-skills★ 4same name
- flintfromthebasement/skills★ 1same name
- IvandoNascimento/skills★ 1same name
- vodolaz095/go-mcp-smtp★ 0same name
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.
In this repository42 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- api-guidelinesSkill
- auditing-localizationSkill
- auditing-securitySkill
- auditing-ux-uiSkill
- brainstormingSkill
- brand-guidelinesSkill
- building-appsSkill
- building-featuresSkill
- PowerPointSkill
- ExcelSkill
- debugging-errorsSkill
- dispatching-parallel-agentsSkill
- engineering-standardsSkill
- executing-plansSkill
- finishing-a-development-branchSkill
- git-commitSkill
- incident-teamSkill
- launch-teamSkill
- localization-guidelinesSkill
- mykaarma-samlSkill
- receiving-code-reviewSkill
- requesting-code-reviewSkill
- researching-codebaseSkill
- reviewing-codeSkill
- review-teamSkill
- second-opinionSkill
- session-metricsSkill
- spec-to-codeSkill
- structured-outputSkill
- subagent-driven-developmentSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
- testing-codeSkill
- thinking-first-principlesSkill
- using-git-worktreesSkill
- using-superpowersSkill
- value-and-viableSkill
- verification-before-completionSkill
- writing-plansSkill
- writing-skillsSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 8 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.

