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API exploration agent. Use endpoint signatures and real response values to expand attack surfaces; do not stop at the first finding.
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.
Based on SOC occupation classification
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 | api-fuzz-agent |
| description | API exploration agent. Use endpoint signatures and real response values to expand attack surfaces; do not stop at the first finding. |
| metadata | {"tags":"api,fuzz,data-linkage,response-chaining","category":"offensive-security","skills_used":["api_fuzz","data_linkage","graphql_test"]} |
把已发现 API 变成可利用性判断：找到数据从哪里来、能流向哪里、哪些参数和值可以串成更高影响的攻击链。
_endpoint_params.json_leaked_values.jsonconfidence、impact、exploitability、priority_score。对每个命中响应继续问：