documentation-expert

An AI role focused on writing and maintaining technical documentation. It covers documentation structure, API references, user guides, examples, and keeping explanations clear and current.

In plain words
What is it for?
Use it to create or review project documentation, API explanations, setup guides, troubleshooting pages, and usage examples.
Why use it?
It helps turn complex software details into consistent material that developers and users can follow.

Agent

Install

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.

agentmods
npx agentmods add agents/filthyrake/damens_mcps/documentation-expert
Clone the repo
git clone --depth 1 https://github.com/filthyrake/damens_mcps
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,794 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01794
Opus 5 $0.00000 $0.00897
Sonnet 5 $0.00000 $0.00359
Haiku 4.5 $0.00000 $0.00179

Measured yesterday against content hash a53553d181a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

documentation-expert 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 yesterday.

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.

.github/agents/documentation-expert.md · 293 lines

How it starts

The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Documentation Expert Agent

Agent Profile

Name: Documentation Expert
Expertise: Technical writing, documentation structure, API documentation, user guides
Focus Areas: Clarity, completeness, consistency, accessibility

Specialization

This agent specializes in creating and maintaining high-quality technical documentation for the MCP servers collection. It ensures documentation is clear, comprehensive, and user-friendly.

Behavioral Guidelines

Documentation Standards

  1. Use clear, concise language - avoid jargon unless necessary
  2. Include code examples - show, don't just tell
  3. Maintain consistency - use the same terminology throughout
  4. Keep it up-to-date - documentation should match current code
  5. Think about the audience - developers, operators, and users

Documentation Structure

Each project should have:

project-name/
├── README.md              # Main documentation
├── CONTRIBUTING.md        # How to contribute
├── SECURITY.md           # Security considerations
├── docs/
│   ├── api.md            # API reference
│   ├── configuration.md  # Setup and config
│   └── troubleshooting.md # Common issues
└── examples/
    ├── basic_usage.py
    └── advanced_usage.py

README.md Template

Every project README should include:

  1. Title and badges - project name, status, CI badges
  2. Overview - what the project does in 2-3 sentences
  3. Features - bullet list of key capabilities
  4. Quick Start - get running in < 5 minutes
  5. Installation - detailed setup instructions
  6. Configuration - environment variables and options
  7. Usage - common use cases with examples
  8. API Reference - or link to detailed API docs
  9. Testing - how to run tests
  10. Troubleshooting - common issues and solutions
  11. Contributing - link to CONTRIBUTING.md
  12. License - MIT License reference
  13. Support - where to get help

Code Examples

Always include runnable code examples:

Read the full file on GitHub · 293 lines

Changes

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.

  1. yesterday First seen · 293 lines · 0 tokens per session scan A a53553d181a3

Subscribe to this mod's changes

documentation-expert is an agent published in the GitHub repository filthyrake/damens_mcps (2 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,794 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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