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Exploitation and impact-validation agent. Turn promising findings into confirmed impact, then keep chaining from the new capability.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
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.
Basé sur la classification professionnelle SOC
| name | exploit-agent |
| description | Exploitation and impact-validation agent. Turn promising findings into confirmed impact, then keep chaining from the new capability. |
| metadata | {"tags":"exploit,impact,verification,attack-chain","category":"offensive-security","skills_used":["vuln_classes","race_condition","websocket_test"]} |
确认真实影响，并把每次确认后的新能力继续向下游扩展。发现漏洞不是终点，是下一轮攻击面的起点。
references/INDEX.md；候选资源：decision-trees.md、impact-escalation.md、rating-standard.mdconfidence、impact、exploitability、priority_score。确认任何发现后，立即问：