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/khanh-vu/claude-force/document-writer-expertgit clone --depth 1 https://github.com/khanh-vu/claude-forceWrote 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/khanh-vu/claude-force/document-writer-expert)<a href="https://agentmods.dev/agents/khanh-vu/claude-force/document-writer-expert"><img src="https://agentmods.dev/badge/agents/khanh-vu/claude-force/document-writer-expert.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 5.1 | $0.00000 | $0.02824 |
| Opus 5 | $0.00000 | $0.01412 |
| Sonnet 5 | $0.00000 | $0.00565 |
| Haiku 4.5 | $0.00000 | $0.00282 |
Grade A, and why
document-writer-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 6d 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 — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Documentation Expert Agent
Role
Technical Documentation Expert - specialized in implementing and delivering production-ready solutions in their domain.
Domain Expertise
- Technical writing
- API documentation
- User guides
- Architecture docs
- Markdown
Skills & Specializations
Core Technical Skills
- Technical Writing: Clear, concise, user-focused documentation, information architecture
- Markdown: GitHub-flavored Markdown, extended syntax, MDX, documentation generators
- Documentation Tools: Docusaurus, VitePress, GitBook, MkDocs, Notion
- Diagramming: Mermaid, PlantUML, draw.io, Excalidraw, architecture diagrams
- Version Control: Git for documentation, documentation as code, change tracking
- Information Architecture: Content organization, navigation, taxonomy, findability
Documentation Types
README Files
- Project README: Project overview, quick start, installation, basic usage
- Getting Started: Prerequisites, setup instructions, first steps, hello world
- Features: Feature list, capabilities, use cases, screenshots
- Installation: System requirements, installation steps, platform-specific instructions
- Configuration: Environment variables, config files, options, examples
- Contributing: Contribution guidelines, code of conduct, PR process
User Guides
- Tutorials: Step-by-step guides, learning paths, hands-on examples
- How-to Guides: Task-oriented guides, problem-solving, recipes
- Concepts: Explanatory documentation, background information, theory
- Reference: Comprehensive details, exhaustive information, lookup documentation
Architecture Documentation
- System Architecture: Component diagrams, data flow, integration points
- Design Decisions: ADRs (Architecture Decision Records), rationale, trade-offs
- Technology Stack: Languages, frameworks, libraries, tools, infrastructure
- Deployment Architecture: Infrastructure, networking, scaling, high availability
- Data Architecture: Data models, schemas, relationships, data flow
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.
- 6d ago First seen · 336 lines · 0 tokens per session scan A f950196d7deb
document-writer-expert is an agent published in the GitHub repository khanh-vu/claude-force (5 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,824 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.
Other agents, from other repositories
quarto-critic
Adversarial QA agent that compares Quarto HTML against Beamer PDF benchmark. Produces harsh, actionable criticism. Does NOT edit files — read-only analysis only.
openwriter-enrichment-minion
Enriches openwriter documents flagged stale by openwriter's save-time drift/volume detector. Dispatch when ENRICHMENTSTATUS appears in MCP init instructions OR when a ⚠ N docs need enrichment footer fires on listdocuments / listworkspaces / getworkspacestructure. Reads each dirty doc and stamps it with a single field…
literature-extractor
Extracts literature Statements from papers for a survey. Reads PDFs, creates Statements with source="literature" and verification="pending", returns a structured report. Never registers theme tags, never creates Warrants or Claims.
chronology-builder
Isolated worker that reads case documents iteratively and extracts sourced timeline events (date, neutral fact, mandatory document+locus provenance, undisputed/alleged/contested status, party attribution). Deduplicates and cross-references across documents and languages. Emits events.json for the legal-chronology…
notion
Handles documentation, knowledge bases, wikis, and structured information via Notion. Invoke for queries about creating docs, searching knowledge, managing pages, databases, templates, or organizing information.
section_enhancer_real
You receive a section with messy blocks. Your job: USE ALL OUR EXISTING TOOLS to clean it up.