a2a-security-review
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity, capability-negotiation trust, and delegation-chain…
Responsibly red-team an AI system to find SAFETY failures — harmful outputs, jailbreaks that defeat safety guardrails, and foreseeable-misuse / dangerous- capability elicitation — so they can be mitigated. Use to stress-test safeguards before/after release. Controlled,
$ npx -y skills add jassics/awesome-claude-security --skill safety-red-team --agent claude-codeHow it fires
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/safety-red-teamContext preview
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Responsibly red-team an AI system to find SAFETY failures — harmful outputs, jailbreaks that defeat safety guardrails, and foreseeable-misuse / dangerous- capability elicitation — so they can be mitigated. Use to stress-test safeguards before/after release. Controlled,
name: safety-red-team description: >- Responsibly red-team an AI system to find SAFETY failures — harmful outputs, jailbreaks that defeat safety guardrails, and foreseeable-misuse / dangerous- capability elicitation — so they can be mitigated. Use to stress-test safeguards before/after release. Controlled, authorized, mitigation-focused; not for producing or retaining harmful content.
Evidence on where the system's safety behavior breaks: which harm categories can be elicited, under what techniques, and how robust the guardrails are — to drive fixes.
This is **defensive**: the objective is to measure whether safeguards hold and to improve them, in a controlled/authorized setting. Probe to the point of demonstrating a guardrail gap; do **not** generate complete operational harmful artifacts (e.g. working weapon/malware instructions). Record that a boundary failed and the category — not a usable harmful payload. Handle any sensitive output as restricted and minimize/redact it.
demonstrate-the-gap level, not full operational detail).
delivery of the above.
1. Confirm authorization and scope; prefer a controlled/sandbox environment. 2. Run techniques per harm category; for each, record: technique · category · result (held / partial / bypassed) · minimal evidence (description, not payload). 3. Identify the failed control (classifier gap, weak refusal, robustness hole). 4. Rank by severity (`threat-modeling:risk-rank`) and recommend mitigations (guardrail tuning, training, policy, monitoring, human oversight).
A results table: technique · harm category · result · (redacted) evidence · mitigation. Route confirmed gaps through `security-reporting:finding` with restricted handling.
Distinct from `pentester` / security red-team (which targets the system on behalf of an attacker). Here the "win" is a *harm to a person/society*, and the goal is to close it. Keep evidence minimal and non-operational.
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.
Repo: jassics/awesome-claude-security
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