a2a-security-review
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity,…
Run the cyber threat intelligence lifecycle for a question or dataset — direction, collection, processing, analysis with structured techniques, and dissemination — to produce an assessed, actionable intelligence product. Use to turn raw threat data into decision-useful
Claude Code
$ npx -y skills add jassics/awesome-claude-security --skill cti-analysis --agent claude-code
Codex
$ npx skills add jassics/awesome-claude-security --skill cti-analysis -a codex -y
Cursor
$ npx skills add jassics/awesome-claude-security --skill cti-analysis -a cursor -y
Gemini CLI
$ npx skills add jassics/awesome-claude-security --skill cti-analysis -a gemini-cli -y
GitHub Copilot
$ npx skills add jassics/awesome-claude-security --skill cti-analysis -a github-copilot -y
OpenCode
$ npx skills add jassics/awesome-claude-security --skill cti-analysis -a opencode -y
Windsurf
$ npx skills add jassics/awesome-claude-security --skill cti-analysis -a windsurf -y
name: cti-analysis description: >- Run the cyber threat intelligence lifecycle for a question or dataset — direction, collection, processing, analysis with structured techniques, and dissemination — to produce an assessed, actionable intelligence product. Use to turn raw threat data into decision-useful intelligence for a defined audience.
An intelligence product that answers a specific requirement, states assessments with calibrated confidence, and tells the consumer what to do — not just a pile of data.
1. **Direction** — define the intelligence requirement and the audience (SOC, IR, leadership). What decision will this inform? This sets relevance. 2. **Collection** — gather from the right sources (internal telemetry/`dfir`, OSINT, feeds, ISAC/sharing, vendor reports). Track source reliability. 3. **Processing** — normalize, deduplicate, translate, and structure (IOCs, TTPs); map to ATT&CK. 4. **Analysis** — apply structured analytic techniques (e.g. Analysis of Competing Hypotheses) to reduce bias; use the Diamond Model and Kill Chain to frame adversary activity; assign confidence and source-reliability ratings. 5. **Dissemination** — deliver in the form/altitude the audience needs (strategic / operational / tactical) with clear, actionable recommendations. 6. **Feedback** — capture whether it met the requirement; refine.
1. Pin the requirement and audience first; scope collection to it. 2. Process and map data to ATT&CK; enrich indicators (`ioc-enrichment`). 3. Analyze with explicit hypotheses and calibrated confidence (distinguish fact vs. assessment vs. assumption). 4. Produce the right product for the audience with recommended actions.
An intelligence product: requirement · key judgments (with confidence) · supporting evidence · ATT&CK/Diamond framing · recommendations · sources (with reliability). Use `security-reporting`; tactical output feeds `detection-engineering`.
Intelligence is requirement-driven and decision-oriented — data without a consumer and a recommendation isn't intelligence. State confidence explicitly and separate fact from assessment from assumption. Match altitude to audience: leadership wants strategic implications, the SOC wants tactical TTPs/IOCs.
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…