a2a-security-review
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity,…
Gap-assess an AI system or program against a responsible-AI / governance framework — NIST AI RMF, ISO/IEC 42001, EU AI Act, OECD principles — covering governance, transparency, accountability, human oversight, documentation, and monitoring, then produce a prioritized roadmap.
Claude Code
$ npx -y skills add jassics/awesome-claude-security --skill responsible-ai-assessment --agent claude-code
Codex
$ npx skills add jassics/awesome-claude-security --skill responsible-ai-assessment -a codex -y
Cursor
$ npx skills add jassics/awesome-claude-security --skill responsible-ai-assessment -a cursor -y
Gemini CLI
$ npx skills add jassics/awesome-claude-security --skill responsible-ai-assessment -a gemini-cli -y
GitHub Copilot
$ npx skills add jassics/awesome-claude-security --skill responsible-ai-assessment -a github-copilot -y
OpenCode
$ npx skills add jassics/awesome-claude-security --skill responsible-ai-assessment -a opencode -y
Windsurf
$ npx skills add jassics/awesome-claude-security --skill responsible-ai-assessment -a windsurf -y
name: responsible-ai-assessment description: >- Gap-assess an AI system or program against a responsible-AI / governance framework — NIST AI RMF, ISO/IEC 42001, EU AI Act, OECD principles — covering governance, transparency, accountability, human oversight, documentation, and monitoring, then produce a prioritized roadmap. Use for AI governance, audit readiness, or compliance gap analysis.
A governance gap analysis: where the system/program stands against the chosen framework(s), the gaps, and a prioritized roadmap to close them.
1. **Pick the framework(s)** for the context:
minimal); high-risk triggers specific obligations.
(See `harm-modeling/reference.md` for the framework map.) 2. **Assess each control/function**: governance & accountability (who owns AI risk), risk mapping (intended use, harms — reuse `harm-modeling`), measurement (evals, bias, monitoring — reuse `safety-evaluation`, `bias-fairness-assessment`), transparency (model/data cards, user disclosures), human oversight, data governance, incident response, and ongoing monitoring/drift. 3. **Score each** (e.g. absent / partial / met) with evidence. 4. **Prioritize the roadmap** by risk (and regulatory deadline, for EU AI Act high-risk), with owners.
A gap-analysis table: framework area · requirement · status · evidence · gap · priority · owner, plus a phased roadmap. Use `security-reporting` for the report and an executive summary for leadership; this feeds a CISO/CTO or `ai-safety-engineer` program view.
Governance ties the technical safety work (harm modeling, evals, guardrails, fairness) to organizational accountability and regulation. Start by classifying the use case's risk tier — it determines how much rigor each control needs. Verify current framework versions and any jurisdiction-specific obligations.
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.
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity,…
Test the agent execution harness/runtime itself — LangChain/LangGraph, AutoGen, CrewAI, custom ReAct-style loops, or…
Assess an autonomous / tool-using AI agent for security end-to-end: tool privileges, autonomy and approval boundaries, excessive…
Test what an AI agent will actually do without human confirmation, including under injected-goal / prompt-injection scenarios, to…
Review the security of MCP (Model Context Protocol) servers/clients an agent uses: server trust tier, tool/resource description…
Inventory the tools/functions an AI agent can call and audit their privileges, side effects, and approval requirements to find…
Use for authorized security assessment of REST, GraphQL, WebSocket, or SOAP APIs, including discovery, authentication,…
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys)…
Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting…