Jss
JS 侦察流水线编排(自带工具链 + Yakit/浏览器 MCP + 开源 HaESkill 联动):按输入类型自适应——URL 走 katana 主动爬取(硬限速防风控)+ waymore 被动存档(目标站 0 请求),Yakit 有抓包流量则导入登录态 JS 与 API 端点,小程序反编译目录/本地 dist 直接分析(无爬取路径,analyze 即全流程)。双提取引擎(jsluice AST + 正则)+ hae 规则增强产出 ai_brief.md,AI 再做语义分析与优先级排序。任何环节阻塞自动跳过并汇总告知。仅用于授权渗透测试/SRC。触发词:分析js、js分析、js侦察、js信息收集、JS审计、js审计、前端信息收集、前端安全分析、提取接口、接口提取、端点提取、API提取、敏感信息提取、密钥提取、小程序分析、分析小程序、小程序逆向、反编译js分析、sourcemap、源码还原、HAR分析、抓包分析、Yakit流量分析、SRC信息收集、HaESkill、hae、jss。
Install
npx skills add ZeroTu1/jss-skill --skill jssgit clone --depth 1 https://github.com/ZeroTu1/jss-skill.git /tmp/jss-skill
mkdir -p ~/.claude/skills
cp -r /tmp/jss-skill/. ~/.claude/skills/jssPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# jss 编排手册(AI 按此执行) 工具做广度(爬、收、批量提取),AI 做深度(读 ai_brief.md 做语义分析、排优先级、回源核实)。只用于已授权目标。 **本 skill 自带全部工具**(bin/jsluice.exe、bin/katana.exe、waymore-8.9/),拿到任何机器解压即用,无需另装 Go/katana。唯一外部依赖:Python ≥3.8 + 四个 pip 包(见 requirements.txt)。结果默认落在**会话目录** `work\<目标名>\`(AI 可直接看到已有产物,避免重复爬取;可用 JSS_WORK 环境变量重定位),AI 第一入口是 `report\ai_brief.md`。 ## Step 0 查已有产物(避免重复爬取) **在 Step 1 之前,AI 必须先检查会话目录下 `work/<目标名>/` 是否存在且已有 `report/ai_brief.md`:** - **已有完整报告** → 跳过 Step 2~4,直接走 Step 5(analyze 取最近一次结果)→ Step 6(AI 语义分析)。用户追加新信息(如新 Yakit 流量)时,ingest 会合并到已有目录,然后 re-run analyze。 - **只有部分数据**(如只有 `js/` 但无 `flows_endpoints.txt`)→ 增量补充(如查 Yakit 流量)→ 再 analyze。 - **无目录** → 走完整流程。 ## Step 1 判定输入类型,选路径(全场景覆盖) | 用户给的输入 | 执行路径 | |---|---| | URL / 域名 | Step 2(Yakit 流量)→ Step 3(collect)→ Step 4(passive)→ Step 5(analyze) | | 本地目录(小程序反编译、dist、下载的 JS) | **只走 Step 5**:`python jss.py analyze <目录1> <目录2>`,不发任何网络请求。反编译小程序会被自动识别(app-service.js/app.json 特征 + appid 提取),简报概览标记场景 | | HAR 文件 | `python jss.py har <file.har>` → Step 5 | | Yakit/浏览器 MCP 流量 JSON | `python jss.py ingest <flows.json> --name <目标名>` → Step 5 | | "分析上次/某个目标的结果" | `python jss.py list` 确认 → Step 5(analyze 默认取最近一次) | | 只要敏感信息扫描、不要端点/收集 | **别用本 skill**,直接加载 hae skill(开源 HaESkill:https://github.com/overspace-labs/HaESkill,见下方联动章节) | ## Step 2 Yakit 登录态流量(AI 自动执行:Yakit MCP 在线即查,不依赖用户显式要求) **行为规则:** 只要当前会话有 Yakit MCP 工具可用(无论用户是否提及),AI 在 Step 1 判定输入类型后,必须自动执行本步骤。Yakit MCP 不存在则记录"无 Yakit MCP"跳过。这是 AI 的自主行为,不是等待用户指令。
Details
- Skill name
jss- Repository
- ZeroTu1/jss-skill
- Repo updated
- 31 August 2026
FAQ
What does the Jss skill do?
JS 侦察流水线编排(自带工具链 + Yakit/浏览器 MCP + 开源 HaESkill 联动):按输入类型自适应——URL 走 katana 主动爬取(硬限速防风控)+ waymore 被动存档(目标站 0 请求),Yakit 有抓包流量则导入登录态 JS 与 API 端点,小程序反编译目录/本地 dist 直接分析(无爬取路径,analyze 即全流程)。双提取引擎(jsluice AST + 正则)+ hae 规则增强产出 ai_brief.md,AI 再做语义分析与优先级排序。任何环节阻塞自动跳过并汇总告知。仅用于授权渗透测试/SRC。触发词:分析js、js分析、js侦察、js信息收集、JS审计、js审计、前端信息收集、前端安全分析、提取接口、接口提取、端点提取、API提取、敏感信息提取、密钥提取、小程序分析、分析小程序、小程序逆向、反编译js分析、sourcemap、源码还原、HAR分析、抓包分析、Yakit流量分析、SRC信息收集、HaESkill、hae、jss。
How do I install the Jss skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add ZeroTu1/jss-skill --skill jss. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Jss popular?
It lives in ZeroTu1/jss-skill, which has 10 GitHub stars and 0 forks.
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