a2a-security-review
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity,…
Draw a Data Flow Diagram with trust boundaries for threat modeling: external entities, processes, data stores, data flows, and the boundaries between them. Use when starting a STRIDE/PASTA threat model or documenting how data moves through a system.
Claude Code
$ npx -y skills add jassics/awesome-claude-security --skill threat-model-dfd --agent claude-code
Codex
$ npx skills add jassics/awesome-claude-security --skill threat-model-dfd -a codex -y
Cursor
$ npx skills add jassics/awesome-claude-security --skill threat-model-dfd -a cursor -y
Gemini CLI
$ npx skills add jassics/awesome-claude-security --skill threat-model-dfd -a gemini-cli -y
GitHub Copilot
$ npx skills add jassics/awesome-claude-security --skill threat-model-dfd -a github-copilot -y
OpenCode
$ npx skills add jassics/awesome-claude-security --skill threat-model-dfd -a opencode -y
Windsurf
$ npx skills add jassics/awesome-claude-security --skill threat-model-dfd -a windsurf -y
name: threat-model-dfd description: >- Draw a Data Flow Diagram with trust boundaries for threat modeling: external entities, processes, data stores, data flows, and the boundaries between them. Use when starting a STRIDE/PASTA threat model or documenting how data moves through a system.
A DFD that a threat model can be built on: every element typed correctly and every trust boundary drawn, so STRIDE can be applied per element/flow.
(internet↔DMZ, app↔DB, tenant↔tenant, user↔kernel).
1. List actors, processes, stores, and the data that flows between them (ask the user for the architecture if not supplied). 2. Place trust boundaries wherever data crosses a privilege/trust change — these are where threats concentrate. 3. Label every flow with **data + protocol + auth** (e.g. "PII over TLS, JWT"). 4. Render: prefer the Excalidraw MCP; otherwise emit Mermaid `flowchart LR` with `subgraph` blocks for trust boundaries, plus an element/flow inventory table.
This pairs directly with `threat-modeling:stride` — produce the DFD first, then walk STRIDE per element and per boundary crossing.
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…