菜单
Extract client-side attack surface from JS and sourcemaps without dictating the order of investigation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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 | js-analysis |
| description | Extract client-side attack surface from JS and sourcemaps without dictating the order of investigation. |
| metadata | {"tags":"js,spa,endpoint-extraction,sourcemap"} |
从前端代码里恢复真实业务接口、参数、认证入口、路由、状态管理和隐藏功能，为后续攻击面分析提供结构化材料。
_endpoint_params.json、_login_links.json、_secrets_found.jsonreferences/INDEX.md；候选资源：js-analysis-vulnforge.md、vue-spa-attacks.md