a2a-security-review
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity,…
Run the PASTA (Process for Attack Simulation and Threat Analysis) seven-stage, risk-centric threat model that ties technical threats to business impact. Use for a deeper, attacker-simulation threat model where business risk alignment matters (vs. the faster STRIDE pass).
Claude Code
$ npx -y skills add jassics/awesome-claude-security --skill pasta --agent claude-code
Codex
$ npx skills add jassics/awesome-claude-security --skill pasta -a codex -y
Cursor
$ npx skills add jassics/awesome-claude-security --skill pasta -a cursor -y
Gemini CLI
$ npx skills add jassics/awesome-claude-security --skill pasta -a gemini-cli -y
GitHub Copilot
$ npx skills add jassics/awesome-claude-security --skill pasta -a github-copilot -y
OpenCode
$ npx skills add jassics/awesome-claude-security --skill pasta -a opencode -y
Windsurf
$ npx skills add jassics/awesome-claude-security --skill pasta -a windsurf -y
name: pasta description: >- Run the PASTA (Process for Attack Simulation and Threat Analysis) seven-stage, risk-centric threat model that ties technical threats to business impact. Use for a deeper, attacker-simulation threat model where business risk alignment matters (vs. the faster STRIDE pass).
A PASTA threat model: business objectives → technical scope → decomposition → threat analysis → vulnerability mapping → attack modeling → risk & countermeasures.
1. **Define objectives** — business goals, compliance drivers, risk appetite, and the assets that matter. Anchors everything in business impact. 2. **Define technical scope** — architecture, dependencies, trust boundaries. Build/ingest the DFD (`security-diagramming:threat-model-dfd`). 3. **Application decomposition** — actors, entry points, assets, data flows, and the controls already present. 4. **Threat analysis** — relevant threat actors and TTPs; pull from threat intel and map to **MITRE ATT&CK** techniques. 5. **Vulnerability & weakness analysis** — known weaknesses (CWE), findings from scans/tests, and design flaws that the threats could use. 6. **Attack modeling** — build attack trees / attack paths from entry points to target assets (`security-diagramming:attack-tree`); simulate the chains. 7. **Risk & impact analysis** — score residual risk, prioritize, and define countermeasures with business-justified priority.
Work the stages in order; each feeds the next. Capture outputs per stage so the model is auditable. Map threats to ATT&CK and weaknesses to CWE for traceability.
A staged PASTA document: objectives → scope/DFD → decomposition → threats (ATT&CK) → weaknesses (CWE) → attack trees → ranked risks & countermeasures. Use `security-reporting` for the final deliverable.
PASTA's value is business alignment and attacker simulation — keep stage 1 and stage 7 tightly connected so technical findings map back to business risk. Use STRIDE instead when you need a faster, design-time pass.
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…