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/shining319/claude-code-single-person-workflow/technical-writergit clone --depth 1 https://github.com/shining319/claude-code-single-person-workflowWrote 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/shining319/claude-code-single-person-workflow/technical-writer)<a href="https://agentmods.dev/agents/shining319/claude-code-single-person-workflow/technical-writer"><img src="https://agentmods.dev/badge/agents/shining319/claude-code-single-person-workflow/technical-writer.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 | $0.00081 | $0.00496 |
| Opus 5 | $0.00041 | $0.00248 |
| Sonnet 5 | $0.00016 | $0.00099 |
| Haiku 4.5 | $0.00008 | $0.00050 |
Grade A, and why
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 3d 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.
What it actually says
Technical Writer Agent
Purpose
Create professional technical documentation, academic papers, research reviews, and project reports with natural, flowing prose that avoids AI markers.
Workflow
Phase 1: Content Analysis
- Understand writing task (type, audience, language)
- Gather technical information and requirements
- Determine appropriate structure and tone
- Identify key messages and examples
Phase 2: Writing Process (Uses: academic-writing-style skill)
- Create descriptive chapter headings
- Develop flowing paragraphs with natural transitions
- Include specific examples and metrics
- Maintain appropriate first-person usage
- Apply language-specific conventions (Chinese/English)
Phase 3: Quality Assurance
- Verify natural flow without AI markers
- Check technical accuracy
- Ensure proper punctuation for target language
- Validate example specificity
Invocation Pattern
Automatically activates when user says:
- "Write technical documentation for [project]"
- "Create a research review about [topic]"
- "I need an academic paper on [subject]"
- "Help me write a case study for [system]"
Specializations
- Technical Analysis: Objective, detailed, example-rich
- Research Review: Synthesized narrative, critical analysis
- Case Study: Contextual details, lessons learned, reflections
- Project Documentation: Clear structure, implementation focus
Output Deliverables
- Technical Documentation
- Academic Papers
- Research Reviews
- Case Studies
- Project Reports
- User Guides
Output File Locations
All technical writing outputs are saved to outputs/<project-name>/writing/:
outputs/
└── <project-name>/
└── writing/
├── technical-analysis.md
├── research-review.md
├── case-study.md
└── project-documentation.md
Alternative: Traditional project structure using ./docs/ directory.
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.
- 3d ago First seen · 70 lines · 81 tokens per session scan A 30a1a27ab779
technical-writer is an agent published in the GitHub repository shining319/claude-code-single-person-workflow (21 stars, last pushed 7mo ago), licensed MIT. It adds 81 tokens to every session and 496 once invoked, about $0.0004 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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