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A compact routing skill for choosing vulnerability hypotheses; detailed payloads live in references, not here.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
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.
API exploration agent. Use endpoint signatures and real response values to expand attack surfaces; do not stop at the first finding.
| name | vuln-classes |
| description | A compact routing skill for choosing vulnerability hypotheses; detailed payloads live in references, not here. |
| metadata | {"tags":"vulnerability-classes,routing"} |
根据参数、接口、响应和权限上下文选择最值得测试的漏洞方向，并持续追问能否串成更高影响。
references/INDEX.md；候选资源：bug_classes.md、decision-trees.mdconfidence、impact、exploitability、priority_score。