a2a-security-review
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity,…
Run or ingest static application security testing (SAST) results on a codebase, triage them to remove false positives, and confirm the real issues with code evidence and remediation. Use when reviewing source code for security flaws or cleaning up noisy scanner output.
Claude Code
$ npx -y skills add jassics/awesome-claude-security --skill sast-review --agent claude-code
Codex
$ npx skills add jassics/awesome-claude-security --skill sast-review -a codex -y
Cursor
$ npx skills add jassics/awesome-claude-security --skill sast-review -a cursor -y
Gemini CLI
$ npx skills add jassics/awesome-claude-security --skill sast-review -a gemini-cli -y
GitHub Copilot
$ npx skills add jassics/awesome-claude-security --skill sast-review -a github-copilot -y
OpenCode
$ npx skills add jassics/awesome-claude-security --skill sast-review -a opencode -y
Windsurf
$ npx skills add jassics/awesome-claude-security --skill sast-review -a windsurf -y
name: sast-review description: >- Run or ingest static application security testing (SAST) results on a codebase, triage them to remove false positives, and confirm the real issues with code evidence and remediation. Use when reviewing source code for security flaws or cleaning up noisy scanner output.
A triaged SAST finding set: confirmed, code-evidenced issues mapped to CWE and ranked — with the false positives filtered out.
1. **Scope & scan** — identify languages/frameworks; run an appropriate SAST tool (e.g. Semgrep/CodeQL or the project's configured scanner), or ingest existing results. Note coverage and any excluded paths. 2. **Triage each finding** — open the flagged code and trace data flow from source (untrusted input) to sink. Classify: true positive / false positive / needs runtime confirmation. Watch for sanitizers/validation the tool missed. 3. **Confirm impact** — for true positives, identify the vulnerability class (CWE), reachability, and exploitability; mark which need dynamic confirmation (`web-app-security` / `api-security`). 4. **Score & rank** — severity (`security-reporting:cvss`) weighted by reachability; prioritize reachable, high-impact issues. 5. **Remediate** — give the specific code-level fix (parameterize, encode, validate, safe API) — and a secure pattern to prevent recurrence.
A triaged findings table: id · CWE · file:line · class · reachability · TP/FP · severity · remediation. Confirmed issues → `security-reporting:finding`.
SAST is high-recall, low-precision — the value you add is triage. Always trace source→sink before accepting a finding, and flag what needs dynamic confirmation rather than over-claiming. Tune rules to cut recurring false positives. For Python or React/JS specifically, `secure-coding:safe-function-lint` covers a smaller, curated banned-function rule pack (CWE/ASVS-cited) *and* can enforce it via installed git hooks — this skill stays the broader, multi-language, scan-any- codebase pass; the two aren't mutually exclusive.
A Claude Code plugin marketplace for the full cybersecurity & GenAI-security lifecycle — from recon and threat modeling to detection engineering, GRC, and CISO-level strategy. A pentester knows which OWASP test bends a broken-access-control endpoint.
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