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LLM and AI agent security testing for prompt injection, RAG poisoning, MCP injection, and guardrail evaluation. Authorization required.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Write, refine, run, and QA promptfoo evaluation suites for Premortem: promptfooconfig.yaml, providers, vars, tests, assertions, and CI gates. Use for canonical prompt regression in @premortem/evals. Do not use for adversarial redteam plugin setup (see security/llm-security).
Use when the user wants to decide whether implementation is ready, what remains blocked, and what the exact next build step should be.
Use when the user wants the singular Meta-Architect in-session autonomous manager: choose the best next workflow step, manage the fixed gated workflow, and route bounded helper handoffs inside Codex.
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
Automated Dynamic Application Security Testing (DAST) using Playwright MCP plus standard OS pentest tooling. Performs blackbox or greybox scans on single or multiple domains with orchestrated crawling, vulnerability detection, and structured output. Trigger on requests like "scan this domain", "run DAST on these URLs", "automated pentest", or "security-test the staging app".
Comprehensive Android mobile application penetration testing with rooted-device ADB and Frida-based MCP tooling. Covers OWASP MASTG full methodology: recon, static + dynamic analysis, SSL/root bypass, IPC fuzzing, data exfiltration, crypto audit, and reporting. Triggers on requests to pentest Android apps, analyze APKs, bypass mobile security controls, or run MASVS/MASTG assessments.
| name | llm-security |
| description | LLM and AI agent security testing for prompt injection, RAG poisoning, MCP injection, and guardrail evaluation. Authorization required. |
Load the full skill from .agents/skills/security/llm-security/SKILL.md and follow it for the current task.
Pair with .cursor/skills/vet for trust-boundary review before implementation. Use pnpm run eval:prompts and promptfoo for regression; use llm-security workflows for authorized red-team passes.
Upstream: https://github.com/hardw00t/ai-security-arsenal (llm-security skill)
