MCPInstall

hads

Use when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.

Installs
6.6K
Last 24h
+28
Trending rank
#4576
Security
Pass

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/wshobson/agents --skill hads
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads hads automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·This skill defines the Human-AI Document Standard (HADS) and is purely instructional. It contains no code, network activity, or sensitive data access.
Socket PassNo alerts
Snyk PassLOW ·Risk: LOW · No issues
ZeroLeaks PassNONE ·Score: 93/100 · 2 sections analyzed

SKILL.md

The instructions your agent reads when the skill is triggered.

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.

FAQ

What does the hads skill do?

Use when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.

How do I install hads?

Run npx skills add https://github.com/wshobson/agents --skill hads in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/hads/ (personal) or .claude/skills/hads/ (project).

Which AI agents can use hads?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is hads safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains hads?

It is published by wshobson in wshobson/agents. It has 6,648 recorded installs.

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