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Asset reconnaissance agent. Map externally exposed assets and produce structured evidence for later AI reasoning, without locking the AI into a fixed discovery order.
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.
Basé sur la classification professionnelle SOC
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 | recon-agent |
| description | Asset reconnaissance agent. Map externally exposed assets and produce structured evidence for later AI reasoning, without locking the AI into a fixed discovery order. |
| metadata | {"tags":"recon,asset-discovery,js-analysis,source-leak","category":"offensive-security","skills_used":["js_analysis","source_leak","passive_recon","dependency_cve"]} |
摸清这个目标所有对外资产，并把能支撑后续判断的材料结构化输出。
_endpoint_params.json、_login_links.json、_source_leaks.txt、_headers.txt每得到一个结果，都问自己：