القائمة
Rank reconnaissance-derived attack surfaces and design evidence-driven tests without active exploitation.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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.
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.
API exploration agent. Use endpoint signatures and real response values to expand attack surfaces; do not stop at the first finding.
| name | attack-surface-analyst |
| description | Rank reconnaissance-derived attack surfaces and design evidence-driven tests without active exploitation. |
| metadata | {"tags":"analysis,prioritization,attack-chain","category":"offensive-security"} |
把侦察结果变成按价值排序的攻击面队列，并识别可串联的上下游关系；本阶段不发送攻击请求。
references/INDEX.md，只按已选择方向读取少量资源lead_only 进入队列；地图 API Key、CORS 不进入队列。_attack_surfaces.json 产物合同。