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Exploitation and impact-validation agent. Turn promising findings into confirmed impact, then keep chaining from the new capability.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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.
Based on SOC occupation classification
| 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：