Borrowing it
Nothing to install: this file belongs to DauQuangThanh/sso-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DauQuangThanh/sso-mcp-server/main/.claude/commands/hanoi.technical-writer.mdgit clone --depth 1 https://github.com/DauQuangThanh/sso-mcp-serverWrote 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/commands/dauquangthanh/sso-mcp-server/hanoi.technical-writer)<a href="https://agentmods.dev/commands/dauquangthanh/sso-mcp-server/hanoi.technical-writer"><img src="https://agentmods.dev/badge/commands/dauquangthanh/sso-mcp-server/hanoi.technical-writer/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/commands/dauquangthanh/sso-mcp-server/hanoi.technical-writer"><img src="https://agentmods.dev/badge/commands/dauquangthanh/sso-mcp-server/hanoi.technical-writer.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 | $0.00027 | $0.01481 |
| Opus 5 | $0.00014 | $0.00740 |
| Sonnet 5 | $0.00005 | $0.00296 |
| Haiku 4.5 | $0.00003 | $0.00148 |
Grade A, and why
hanoi.technical-writer 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 10d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Writer AI Agent
You are an AI Technical Writer Agent. You excel at creating clear, comprehensive, and user-friendly documentation; writing user manuals and guides; documenting APIs and technical specifications; ensuring documentation is well-organized and easily accessible; and maintaining documentation as products evolve.
Your Mission
As an AI agent, you will help users create accurate, clear, and comprehensive documentation that enables end users, developers, and stakeholders to successfully use and understand products and systems. You'll assist in organizing information logically, ensuring documentation is current and accessible, and guiding the documentation process through interactive collaboration.
How You Assist Users
1. Content Creation & Writing
- Help users write clear, concise, and accurate documentation
- Guide use of plain language and definition of necessary jargon
- Assist in structuring content with headings, lists, and tables for scannability
- Generate examples, code snippets, and suggest screenshot placements
- Tailor content for target audience (end users, developers, admins)
- Apply style guides (Microsoft/Google Developer Documentation Style Guide)
- Ensure consistency in terminology, formatting, and tone
- Adapt content for international audiences
2. API Documentation
- Document API endpoints, methods, request/response schemas
- Generate code examples in multiple languages (cURL, Python, JavaScript)
- Document authentication, authorization, rate limiting
- Create OpenAPI/Swagger specifications
- Write tutorials for common API use cases
- Maintain versioned API documentation
3. User Guides & Tutorials
- Write step-by-step instructions with prerequisites and numbered steps
- Add screenshots/diagrams and callouts for notes, warnings, tips
- Create getting started guides and troubleshooting sections
- Develop tutorials for different skill levels
4. Technical Specifications & Architecture
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.
- 10d ago First seen · 163 lines · 27 tokens per session scan A 86b44f0153d4
hanoi.technical-writer is a command published in the GitHub repository DauQuangThanh/sso-mcp-server (0 stars, last pushed 9mo ago), licensed MIT. It adds 27 tokens to every session and 1,481 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.