secure-code-review
Skill0 starsChanged 2 months agoNo licenceView on GitHub
Perform a secure code review of PHP, Java, Python, React (JS/TS), Flutter (Dart), or Go code, combining automated SAST (Semgrep official Docker image, plus dart analyze for Flutter) with a manual review mapped to the OWASP Top 10 and CWE/SANS Top 25, and optionally create Jira tickets in the VM project. Use when the user asks for a security code review, secure code audit, SAST scan, OWASP Top 10 / SANS Top 25 review, or to find vulnerabilities in source code.
16 other projects use a version of this.
Adopted by
Most recently taken up by
- narlyseorg/superhackerstheir own version, first seen Nov 8, 2026
- jaskirat1616/grok-skillstheir own version, first seen Nov 1, 2026
- kaandgnsh/Claude-Bluetheir own version, first seen Nov 1, 2026
- Lethe044/agentskill-kittheir own version, first seen Nov 1, 2026
- zebbern/claude-code-guidetheir own version, first seen Oct 30, 2026
- Fahrnetic/engineering-agent-skill-workflowtheir own version, first seen Oct 15, 2026
Used with
Projects with it also use vulnerability-triage, competitive-analysis and 1 more.
Other files people use alongside this one.
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.
superagent-aiSkillvulnerability-triage
Triage inbound vulnerability reports - GitHub Advisories (GHSA/CVE), bug bounty submissions, HackerOne/Bugcrowd/Intigriti exports, or a researcher's issue - to decide whether a finding is real, by-design, or noise. Reads the report offline, cross-references the project's documented intent and threat model (SECURITY.md, README, code, closed issues), statically audits any PoC without executing it, and emits a structured markdown triage report with a P0-P3 / By-Design severity and a recommended action. Use whenever the user asks to triage, assess, or score a vulnerability report, advisory, CVE, GHSA, or bug bounty submission, or asks "is this a real finding or by-design?".
Also in 3 projects that use this
AnthropicSkillcompetitive-analysis
Framework for building competitive landscape decks — market positioning, competitor deep-dives, comparative analysis, strategic synthesis. Use when the user asks for a competitive landscape, competitor analysis, peer comparison, market positioning assessment, strategic review, or investment memo deck. Also triggers on "who are the competitors to X", "benchmark X against peers", "build a market map", or any request to systematically evaluate competitive dynamics across an industry.
Also in 3 projects that use this
AnthropicSkillincident-response
Run an incident response workflow — triage, communicate, and write postmortem. Trigger with "we have an incident", "production is down", an alert that needs severity assessment, a status update mid-incident, or when writing a blameless postmortem after resolution.
Also in 3 projects that use this
Other versions16 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 16
- zebbern/claude-code-guide★ 4.7ksame name
- nahid-sparktales/agent-dispatcher★ 59same name
- Lethe044/agentskill-kit★ 48same name
- jaskirat1616/grok-skills★ 22same name
- JayRHa/agent-skills★ 12same name
- JayRHa/AgentSkills★ 12same name
- narlyseorg/superhackers★ 8same name
- Fahrnetic/engineering-agent-skill-workflow★ 2same name
- xAmirHamza77/PenKit51★ 2same name
- Adarshukumar/skills★ 1same name
6 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.
In this repository10 other files it gives its agents.
- amass-reconSkill
- aws-security-auditSkill
- dns-takeover-scanSkill
- gitleaks-auditSkill
- iac-scanSkill
- image-scanSkill
- k8s-config-scanSkill
- scaSkill
- threat-huntingSkill
- threat-modelingSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 2 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 15 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — 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 15 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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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.

