Borrowing it
Nothing to install: this file belongs to WomenDefiningAI/claudecode-writer. 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/WomenDefiningAI/claudecode-writer/main/.claude/commands/write.mdgit clone --depth 1 https://github.com/WomenDefiningAI/claudecode-writerWrote 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/womendefiningai/claudecode-writer/write)<a href="https://agentmods.dev/commands/womendefiningai/claudecode-writer/write"><img src="https://agentmods.dev/badge/commands/womendefiningai/claudecode-writer/write/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/womendefiningai/claudecode-writer/write"><img src="https://agentmods.dev/badge/commands/womendefiningai/claudecode-writer/write.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 | $0.00000 | $0.00673 |
| Opus 5.5 | $0.00000 | $0.00269 |
| Sonnet 5.5 | $0.00000 | $0.00135 |
| Haiku 4.5 | $0.00000 | $0.00067 |
Grade A, and why
write 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 2mo 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Command
Use this command to create comprehensive long-form articles.
Usage
/write [topic or research brief]
What This Command Does
- Creates a complete, well-structured article
- Ensures consistent voice and style throughout
- Includes compelling introduction and conclusion
- Integrates supporting examples and data
- Optimizes for readability and engagement
Process
- Research Integration: Weave in current trends, fresh data, and timely examples
- Competitive Context: Reference (and improve on) existing perspectives
- Structure with Surprise: Build article flow that challenges conventional wisdom
- Evidence Integration: Include recent studies, expert insights, real-world examples
- Voice Authenticity: Ensure your unique perspective comes through clearly
- Future-Forward: Connect current insights to emerging trends or implications
References
Always check @context/writing-examples.md for voice and style consistency.
Output
Provides a complete article ready for:
- Direct publication
- Repurposing by specialized agents
- Further editing and refinement
The article should serve as the master content from which all platform-specific versions are derived.
File Management
After completing the article, automatically save the draft to:
- File Location:
drafts/article-[topic-slug]-[YYYY-MM-DD].md - File Format: Markdown with title, headers, and formatted content
- Naming Convention: Use lowercase, hyphenated topic slug and current date
Example: drafts/article-remote-work-productivity-2024-01-15.md
This ensures all article drafts are systematically organized and available for future reference, editing, or repurposing.
Automatic Multi-Platform Repurposing
After saving the main article, immediately execute all platform-specific agents to create optimized versions:
1. LinkedIn Agent Execution
- Agent:
linkedin-repurposer - Input: Full article content
- Output File:
drafts/linkedin-[topic-slug]-[YYYY-MM-DD].md - Purpose: Professional networking post with engagement hooks
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.
- 2mo ago First seen · 71 lines · 0 tokens per session scan A b2a1ab4a18a1
write is a command published in the GitHub repository WomenDefiningAI/claudecode-writer (223 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 673 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 2026-08-30.
write compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| writeWomenDefiningAI/claudecode-writer | Command | 223 | 1y ago | MIT | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |