ai-security
Treat AI systems as chains of prompt, retrieval, memory, tools, and permissions.
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。
メニュー
Treat AI systems as chains of prompt, retrieval, memory, tools, and permissions.
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
Four-phase autonomous bug bounty orchestration. Phase 0 maps external assets with deterministic Python helpers, Phase 1 lets AI prioritize attack surfaces, Phase 2 gives AI autonomous attack control, and Phase 3 produces verifier-only reports.
Four-phase autonomous bug bounty workflow. Python handles deterministic collection and verifier support; AI owns prioritization, attack reasoning, and autonomous direction changes.
Report generation agent. Convert verifier-confirmed findings into a fixed evidence-based report without adding speculative impact.
Rank reconnaissance-derived attack surfaces and design evidence-driven tests without active exploitation.
Test ranked attack surfaces autonomously, preserve evidence, and turn new access into additional attack-chain hypotheses.
A compact routing skill for choosing vulnerability hypotheses; detailed payloads live in references, not here.
| name | ai-security |
| description | Treat AI systems as chains of prompt, retrieval, memory, tools, and permissions. |
| metadata | {"tags":"ai,llm,rag,agentic"} |
判断用户或外部内容能否影响 AI 的数据访问、工具调用、记忆、检索结果或后端动作。
references/INDEX.md;候选资源:ai-security-testing.md、ai-security-vulnforge.md