ai-safety
claudeAI safety (distinct from security): harm modeling, safety evaluations, responsible red-teaming, bias/fairness, guardrail review, and responsible-AI governance.
6 skills · 1 agent
11
claude
llm-security
OWASP LLM Top 10 assessment, prompt-injection testing, and threat modeling for LLM, RAG, and agentic AI systems.
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Plugin llm-security from marketplace awesome-claude-security in jassics/awesome-claude-security. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (3)
ai-threat-modelThreat model an LLM / RAG / agentic AI system: map prompts, data sources, tools, identities, and trust boundaries, then enumerate AI-specific threats and mitigations. Use when designing or reviewing a GenAI feature's security.
owasp-llm-top10Assess an LLM-backed application against the OWASP Top 10 for LLM Applications, producing a per-category finding set with severity and mitigations. Use when reviewing a chatbot, copilot, RAG app, or any feature built on an LLM.
prompt-injection-testTest an LLM feature for direct and indirect prompt injection using a structured payload set, then record what succeeded and how to mitigate it. Use when assessing a chatbot, copilot, RAG app, or agent for input-handling weaknesses. Authorized testing only.
Subagents (1)
llm-security-reviewerSenior AI security reviewer for an end-to-end assessment of an LLM / RAG / agentic feature — from threat model through OWASP LLM Top 10 and prompt-injection testing to ranked findings. Use for a full GenAI security review rather than a single check.
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claude & codex plugins45 plugins