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Hunt Clueboard

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zhaji2333
hunt-clueboard

当开始挖新目标、换会话/压缩后续挖、用户说线索板/写板/读板/建板，或信息收集、反编译、JS/接口线索需要跨轮保留时调用。负责为当前系统维护一份 Markdown 线索板（读→挖→写回），不负责拆 webpack、打越权或成稿。模板见同目录 CLUEBOARD.template.md。

Overview

Publisherzhaji2333
RepositoryCkSKILLS
Skill namehunt-clueboard
Stars
123
Forks
16
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zhaji2333 on GitHub. Read the source before you install it.

Installation

Install the Hunt Clueboard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zhaji2333/CkSKILLS/tree/main/.agents/skills/hunt-clueboard
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zhaji2333/CkSKILLS.git /tmp/CkSKILLS
mkdir -p .claude/skills
cp -r /tmp/CkSKILLS/.agents/skills/hunt-clueboard .claude/skills/hunt-clueboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hunt Clueboard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hunt Clueboard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hunt Clueboard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

hunt-clueboard — 当前目标线索板（工作记忆）

薄过程 skill，对标 report：report 收口成稿，本 skill 把线索从对话里拿出来落盘。不挖洞、不替代 recon-js-analysis / unauth-path-key-hunt。

定位：低配黑板架构。 专项 Skill 是知识源（往板上写假设与证据），CLUEBOARD.md 是黑板（共享工作记忆），AGENTS.md 路由 + 板上「当前焦点」是控制（决定下一步调谁）。仍是单 Agent 顺序调度，不是多知识源并行抢写。

没有板，压缩或换会话后会从主站 JS 重开一局，否定证据（SPA 壳、405、空数组、NXDOMAIN）最先丢。

何时调用

  • 新目标开工、攻击面梳理开始
  • 用户说「线索板 / 写板 / 读板 / 建板 / 继续挖」
  • 会话压缩后续挖、换人/换会话接着测
  • 本轮产生了 Host/路径/密钥/证伪结果，必须写回

不要调用

  • 还在问「要不要做线索板」的概念题 → 直接按本文建板
  • 漏洞已确认只成稿 → report（成稿前读板上「已证实」行）
  • 拆 JS / 打未授权 / 打越权本身 → 对应挖洞 skill；本 skill 只规定读写

和挖洞 skill 的关系

开工 → hunt-clueboard 建/读板
         │
         ├─ 脏收集 / webpack     → recon-js-analysis   → 写回 1/2/3/5
         ├─ 零身份路径与钥       → unauth-path-key-hunt → 写回 2/3/4/7
         ├─ 角色 / IDOR          → auth-access-control  → 写回 2 鉴权列
         ├─ 全方法 / BOLA        → api-protocol-security
         └─ 成稿                 → report（只读已证实）

铁律

  1. 先读后挖。 板上已证伪的 Host/路径本轮禁止当新发现再扫一遍。
  2. 当轮写回。 线索不进板，本轮收集不算完成。禁止「等下再整理」。
  3. 板是台账不是日记。 只写判断、出处、状态、下一步。
  4. 否定证据优先。 主站没有、SPA 壳、NXDOMAIN、错字段 [] 必须进第 4 节。
  5. PII 不进板。 字段名和条数可以写；完整银行账号/手机/证件不写。原料进 raw/。

文件位置

hunts/<目标短名>/CLUEBOARD.md
hunts/<目标短名>/raw/          ← 可选，JS 摘录、响应头，禁止完整 PII

短名用 Host 主干，如 shop-h5、api-gw。一份目标一块板，不把多系统揉进一个文件。

建板：复制本 skill 目录 CLUEBOARD.template.md → 填目标短名和开工日。已有板则只读补写，不另起。

读写协议

开工（每轮对话第一次碰这个目标）

  1. 找 hunts/<短名>/CLUEBOARD.md，没有就从模板复制。
  2. 读第 0/1/4/6 节，把「当前焦点」当成本轮第一任务。
  3. 再调 recon-js-analysis / unauth-path-key-hunt 等。

挖的过程中

每条可复用判断立刻追加到对应表，状态四选一：假设 / 已证伪 / 已证实 / 待打。

产出写入
新 Host、301、同 IP§1
路径/方法、405、data:[]§2
getRsaKey、JSEncrypt、字段名§3
扫过但无效§4
appid/密钥（打码）§5
下一步动作§6
✅/❌/🔄/💡§7

出处必须能指到公开面（JS 文件、urlscan、兄弟域指纹）。没有出处的路径保持 假设。

指纹怎么分类，见 unauth-path-key-hunt P2，此处不重复。

收工（本轮结束前）

  • 更新「当前焦点」为下一轮第一件事
  • 假设仍超过 5 条就删最弱的或标证伪
  • 板超过约 200 行：判断留在板上，原料搬 raw/

下「无此接口」之前

板上必须能看到失败升级已到 L4（网关 Host + 405/业务 JSON）。见 unauth-path-key-hunt P7。不到 L4 不准用主站 404 结案。

禁止写成什么样

  • 聊天记录粘贴、整份 bundle、HAR 全文
  • 「今天测了很久」类过程散文
  • 无状态的 URL 清单（必须有指纹和状态列）
  • 把登录 Network 截图 URL 写成「已证实出处」（只能进假设，待公开面复原）

交接一句

板是跨轮唯一工作记忆。压缩摘要、聊天里的接口列表都可以丢；丢板等于没挖过。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hunt Clueboard AI skill do?

当开始挖新目标、换会话/压缩后续挖、用户说线索板/写板/读板/建板，或信息收集、反编译、JS/接口线索需要跨轮保留时调用。负责为当前系统维护一份 Markdown 线索板（读→挖→写回），不负责拆 webpack、打越权或成稿。模板见同目录 CLUEBOARD.template.md。

Why use Hunt Clueboard on TypingMind?

Because you install it once and use it with any model. Hunt Clueboard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hunt Clueboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaji2333/CkSKILLS/tree/main/.agents/skills/hunt-clueboard. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hunt Clueboard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hunt Clueboard?

As many as you like. As long as a model supports skills, you can use Hunt Clueboard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hunt Clueboard AI skill free?

Yes. It is published on GitHub by zhaji2333 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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