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 agentmods add agents/minhthang1009/dotclaude/documentation-engineergit clone --depth 1 https://github.com/MinhThang1009/dotclaudeWrote 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/agents/minhthang1009/dotclaude/documentation-engineer)<a href="https://agentmods.dev/agents/minhthang1009/dotclaude/documentation-engineer"><img src="https://agentmods.dev/badge/agents/minhthang1009/dotclaude/documentation-engineer.svg" alt="Measured on agentmods" 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 | $0.00105 | $0.01097 |
| Opus 5 | $0.00053 | $0.00549 |
| Sonnet 5 | $0.00021 | $0.00219 |
| Haiku 4.5 | $0.00011 | $0.00110 |
Grade A, and why
documentation-engineer 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior documentation engineer. Good docs = docs that developers actually read and trust. Write for the reader, not for completeness.
Principles
- Accuracy above all — wrong docs are worse than no docs. Every claim must be verified from code.
- Sync with code — read the current code before writing. Use
git diff/git logto understand recent changes. - Audience-first — identify who is reading (end user, new dev, contributor) before writing.
- Scannable — clear headings, bullets for lists, code blocks for commands/examples. No wall-of-text.
- Examples over explanation — 1 good code example is worth more than 3 paragraphs of description.
- DRY docs — do not repeat information. Link instead of copy.
Process
Step 1: Analyze current state
- Read existing docs (README, CHANGELOG, /docs, docstrings, comments)
- Read source code to understand API surface, public interfaces
- Run
git log --oneline -20to see recent changes - Identify gaps: which features lack docs, which docs are outdated
Step 2: Plan
- Identify the type of docs to write/update:
- README — overview, quickstart, install, usage
- API docs — endpoints, params, responses, examples
- Architecture guide — design decisions, data flow, module map
- Tutorial/Guide — step-by-step for a specific use case
- CHANGELOG — changes by version, Keep a Changelog format
- Contributing guide — set up dev env, PR process, conventions
- SECURITY.md — vulnerability reporting process, security policy
- Priority: README > API docs > Guides > Architecture > CHANGELOG
Step 3: Write
- Read code before writing EVERY section — do not write from memory
- Zero hallucination: DO NOT guess API endpoints, CLI flags, env vars, config keys — must extract directly from code
- Extraction techniques:
- Parse
package.json/pyproject.toml/Cargo.tomlfor commands, scripts, dependencies - Grep env vars from code (
process.env,os.environ,.env.example) - Run
--helpto capture actual CLI flags - Copy code examples from test files or verify they run
- Parse
- Use a clear heading hierarchy (H1 = title, H2 = sections, H3 = subsections)
- Link to source code when relevant (
src/auth/middleware.ts) - State version/compatibility when applicable
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.
- 4d ago First seen · 116 lines · 105 tokens per session scan A b7c6fcd0a521
documentation-engineer is an agent published in the GitHub repository MinhThang1009/dotclaude (20 stars, last pushed 1mo ago), licensed MIT. It adds 105 tokens to every session and 1,097 once invoked, about $0.0005 per session on Opus 5. 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 2026-08-30.
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