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hadshads 搜索

Agent Skill

hads 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

37,080

周安装

1,535

GitHub Stars

34,467

下载量

11,640
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hads(hads 搜索)
来源仓库:https://github.com/wshobson/agents
仓库路径:skills/hads
安装命令:
npx skills add https://github.com/wshobson/agents --skill hads
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/wshobson/agents --skill hads

简介

hads 提供信息查找、检索与筛选能力,支持基于关键词快速定位候选结果。

  • 适用于研究、资料收集或任务前期调研等需要广泛检索信息的场景。
  • 通过 GitHub 安装,兼容 Codex、Claude、Cursor 和 Gemini CLI 等宿主环境。
  • 使用前需确认其是否联网、能否访问外部资源以及权限边界。
  • 建议核对来源仓库状态,确保技能功能与当前需求一致。

SKILL.md

HADS Claude Skill

Version 1.0.0 · Human-AI Document Standard · 2026 · HADS 1.0.0


AI READING INSTRUCTION

This skill teaches Claude how to read, generate, and validate HADS documents. Read all [SPEC] blocks before responding to any HADS-related request. Read [NOTE] blocks if you need context on intent or edge cases.


1. WHAT IS HADS

[SPEC]

  • HADS = Human-AI Document Standard
  • Convention for Markdown technical documentation
  • Four block types: **[SPEC]**, **[NOTE]**, **[BUG]**, **[?]**
  • Every HADS document requires: H1 title, version declaration, AI manifest
  • AI manifest appears before first content section, tells AI what to read/skip
  • File extension: .md — standard Markdown, no tooling required

2. BLOCK TYPES

[SPEC]

**[SPEC]**   Authoritative fact. Terse. Bullet lists, tables, code. AI reads always.
**[NOTE]**   Human context, history, examples. AI may skip.
**[BUG]**    Verified failure + fix. Required fields: symptom, cause, fix. Always read.
**[?]**      Unverified / inferred. Lower confidence. Always flagged.

Block tag rules:

  • Bold, on its own line: **[SPEC]**
  • Content follows immediately (no blank line between tag and content)
  • Multiple blocks of different types allowed per section
  • Titled BUG blocks allowed: **[BUG] Short description**
  • No nesting of blocks inside blocks

3. REQUIRED DOCUMENT STRUCTURE

[SPEC]

# Document Title
**Version X.Y.Z** · Author · Date · [metadata]

---

## AI READING INSTRUCTION

Read `[SPEC]` and `[BUG]` blocks for authoritative facts.
Read `[NOTE]` only if additional context is needed.
`[?]` blocks are unverified — treat with lower confidence.

---

## 1. First Section

**[SPEC]**
...

Required elements in order:

  1. H1 title
  2. **Version X.Y.Z** in header (first 20 lines)
  3. AI manifest section before first content section
  4. Content sections (H2), subsections (H3)

4. HOW CLAUDE READS HADS

[SPEC] When encountering a HADS document:

  1. Find and read the AI manifest first
  2. Read all [SPEC] blocks — these are ground truth
  3. Read all [BUG] blocks — always, before generating any code or config
  4. Read [NOTE] blocks only if [SPEC] is insufficient to answer the query
  5. Treat [?] content as hypothesis — note uncertainty in response

Token optimization: for large documents, scan section headings first, then read only [SPEC] and [BUG] blocks in relevant sections.


5. HOW CLAUDE GENERATES HADS

[SPEC] When asked to write documentation in HADS format:

  1. Start with header block (title, version, metadata)
  2. Add AI manifest — always include, never skip
  3. Organize content into numbered H2 sections
  4. For each fact: write as [SPEC] — terse, bullet or table or code
  5. For each "why" or context: write as [NOTE]
  6. For each known failure mode with confirmed fix: write as [BUG]
  7. For each unverified claim: write as [?]
  8. End with changelog section

Content rules for [SPEC]:

  • Prefer bullet lists over prose
  • Prefer tables for multi-field facts
  • Prefer code blocks for syntax, formats, examples
  • Maximum 2 sentences of prose — if more needed, move to [NOTE]

Content rules for [BUG]:

  • Always include: symptom, cause, fix
  • Optional: affected versions, workaround
  • Title on same line: **[BUG] Short description**

[NOTE] When converting existing documentation to HADS: extract facts into [SPEC], move narrative and history to [NOTE], surface all known issues as [BUG]. Do not duplicate content between block types.


6. VALIDATION RULES

[SPEC] A valid HADS document must have:

  • H1 title
  • **Version X.Y.Z** in first 20 lines
  • AI manifest before first content section
  • All block tags bold: **[SPEC]** not [SPEC] not *[SPEC]*
  • [BUG] blocks contain at minimum symptom + fix

Validator: *(planned — not yet included in this release)*


7. EXAMPLE INTERACTIONS

[SPEC]

User: *"Write HADS documentation for this REST API"* → Generate full HADS document: header, manifest, sections with [SPEC]/[NOTE]/[BUG] blocks

User: *"Convert this README to HADS format"* → Restructure existing content into HADS blocks, preserve all facts, add manifest

User: *"Is this document valid HADS?"* → Check: H1 title, version, manifest, block tag formatting, BUG block completeness

User: *"Summarize this HADS document"* → Read only [SPEC] and [BUG] blocks, return structured summary

User: *"What does this API do?"* (HADS doc provided) → Read manifest, read [SPEC] blocks in relevant sections, answer directly


8. DESIGN INTENT

[NOTE] HADS exists because AI models increasingly read documentation before humans do. The format optimizes for this reality without sacrificing human readability.

Key insight: the AI manifest is the core innovation. It lets even small (7B) models know what to read and what to skip — without requiring them to reason about document structure. Explicit is better than implicit for model consumption.

When generating HADS, think of [SPEC] as the API surface and [NOTE] as the comments. [BUG] blocks are the most valuable content — they represent hard-won knowledge that saves others from hitting the same wall.


9. QUICK REFERENCE

[SPEC]

Tag       | Bold format    | Reader  | Required content
----------|----------------|---------|------------------
[SPEC]    | **[SPEC]**     | AI      | Facts, terse
[NOTE]    | **[NOTE]**     | Human   | Context, narrative
[BUG]     | **[BUG] ...**  | Both    | Symptom + fix
[?]       | **[?]**        | Both    | Unverified claims

Manifest minimum:

## AI READING INSTRUCTION
Read `[SPEC]` and `[BUG]` blocks for authoritative facts.
Read `[NOTE]` only if additional context is needed.
`[?]` blocks are unverified.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.2%
按下载量换算4,214

Claude

26.59%
按下载量换算3,095

Cursor

18.64%
按下载量换算2,170

Gemini CLI

9.53%
按下载量换算1,109

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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