Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add HappyMonkeyAI/AgentsProtocol --skill code-documentation-doc-generategit clone --depth 1 https://github.com/HappyMonkeyAI/AgentsProtocolWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/happymonkeyai/agentsprotocol/code-documentation-doc-generate)<a href="https://agentmods.dev/skills/happymonkeyai/agentsprotocol/code-documentation-doc-generate"><img src="https://agentmods.dev/badge/skills/happymonkeyai/agentsprotocol/code-documentation-doc-generate/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/happymonkeyai/agentsprotocol/code-documentation-doc-generate"><img src="https://agentmods.dev/badge/skills/happymonkeyai/agentsprotocol/code-documentation-doc-generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.00338 |
| Opus 5.5 | $0.00018 | $0.00135 |
| Sonnet 5.5 | $0.00009 | $0.00068 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
code-documentation-doc-generate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to code-documentation-doc-generate — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Automated Documentation Generation
You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
Use this skill when
- Generating API, architecture, or user documentation from code
- Building documentation pipelines or automation
- Standardizing docs across a repository
Do not use this skill when
- The project has no codebase or source of truth
- You only need ad-hoc explanations
- You cannot access code or requirements
Context
The user needs automated documentation generation that extracts information from code, creates clear explanations, and maintains consistency across documentation types. Focus on creating living documentation that stays synchronized with code.
Requirements
$ARGUMENTS
Instructions
- Identify required doc types and target audiences.
- Extract information from code, configs, and comments.
- Generate docs with consistent terminology and structure.
- Add automation (linting, CI) and validate accuracy.
- If detailed examples are required, open
resources/implementation-playbook.md.
Safety
- Avoid exposing secrets, internal URLs, or sensitive data in docs.
Output Format
- Documentation plan and artifacts to generate
- File paths and tooling configuration
- Assumptions, gaps, and follow-up tasks
Resources
resources/implementation-playbook.mdfor detailed examples and templates.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 49 lines · 45 tokens per session scan A 4f57bee039da
code-documentation-doc-generate is a skill published in the GitHub repository HappyMonkeyAI/AgentsProtocol (5 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 338 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to code-documentation-doc-generate, differing in 0 lines, and is treated as a copy.
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