a2a-security-review
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity,…
Intake a proposed AI use case and risk-classify it (EU AI Act tier / NIST AI RMF context), then gate it with the controls and documentation required before it can proceed. Use for AI governance intake, an AI use-case review board, or deciding what rigor a new AI project needs.
Claude Code
$ npx -y skills add jassics/awesome-claude-security --skill ai-use-case-intake --agent claude-code
Codex
$ npx skills add jassics/awesome-claude-security --skill ai-use-case-intake -a codex -y
Cursor
$ npx skills add jassics/awesome-claude-security --skill ai-use-case-intake -a cursor -y
Gemini CLI
$ npx skills add jassics/awesome-claude-security --skill ai-use-case-intake -a gemini-cli -y
GitHub Copilot
$ npx skills add jassics/awesome-claude-security --skill ai-use-case-intake -a github-copilot -y
OpenCode
$ npx skills add jassics/awesome-claude-security --skill ai-use-case-intake -a opencode -y
Windsurf
$ npx skills add jassics/awesome-claude-security --skill ai-use-case-intake -a windsurf -y
name: ai-use-case-intake description: >- Intake a proposed AI use case and risk-classify it (EU AI Act tier / NIST AI RMF context), then gate it with the controls and documentation required before it can proceed. Use for AI governance intake, an AI use-case review board, or deciding what rigor a new AI project needs.
A governance decision record for a proposed AI use case: its risk classification, the obligations that follow, the required controls/evidence, and a clear proceed / proceed-with-conditions / do-not-proceed outcome.
1. **Capture the use case** — purpose, users and affected people, data used, autonomy/impact on decisions, deployment context, and vendor/build status. 2. **Classify risk:**
(transparency) / minimal. High-risk and prohibited categories drive most obligations; check whether the use case falls in a listed high-risk area.
potential (reuse `ai-safety:harm-modeling`). 3. **Derive obligations** from the tier: required documentation (model/data cards, intended-use + limitations), human oversight, transparency/disclosure, data governance, testing/eval evidence, logging, and post-market monitoring. 4. **Map required controls to evidence** — which already exist vs. gaps. Pull from `ai-safety:safety-evaluation`, `bias-fairness-assessment`, `guardrail-review`, `responsible-ai-assessment`. 5. **Decide & record** — proceed / conditions / stop, with owner, conditions, and review date. Add to the AI inventory/register.
An intake decision record: use case · risk tier · obligations · required controls · evidence status · decision · conditions · owner · review date. Use `security-reporting` for the record and an executive summary; this also feeds the org's AI inventory.
Classify the risk tier first — it sets how much rigor everything else needs, and it catches prohibited uses before effort is spent. Keep the register current; intake is the front door of the governance program, not a one-time form. Verify current EU AI Act / NIST AI RMF text and any sector rules.
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…