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/research.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/research)<a href="https://agentmods.dev/commands/womendefiningai/claudecode-writer/research"><img src="https://agentmods.dev/badge/commands/womendefiningai/claudecode-writer/research/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/research"><img src="https://agentmods.dev/badge/commands/womendefiningai/claudecode-writer/research.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 | $0.00445 |
| Opus 5.5 | $0.00000 | $0.00178 |
| Sonnet 5.5 | $0.00000 | $0.00089 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
research 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.
What it actually says
Research Command
Use this command to develop and refine content ideas before writing.
Usage
/research [topic]
What This Command Does
- Explores the topic from multiple angles
- Identifies key insights and unique perspectives
- Suggests compelling hooks and storylines
- Researches supporting data and examples
- Outlines potential article structure
Process
- Priority Source Check: Start with sources in @context/research-sources.md - check these FIRST
- Gap Analysis: Identify what perspectives are missing from trusted source coverage
- Trend Investigation: Check Google Trends, industry reports, social media discussions
- Counter-narrative Search: Look for contrarian views or unexplored angles
- Data Mining: Find recent studies, surveys, or statistics to support points
- Expert Voices: Identify who else is talking about this and what they're missing
- Audience Pulse: Research what questions people are actually asking about this topic
- Broader Web Search: Expand beyond priority sources for comprehensive coverage
Output
Provides a research brief with:
- Trend Context: What's currently happening in this space
- Unique Angle: Your differentiated perspective vs. existing content
- Core Thesis: Main argument supported by fresh data/insights
- Supporting Evidence: Recent examples, studies, expert quotes
- Audience Questions: What people are actually asking about this topic
- Platform Hooks: Compelling angles for each repurposing agent
- Contrarian Elements: Unexpected or challenging viewpoints to explore
File Management
After completing the research, automatically save the brief to:
- File Location:
research/research-brief-[topic-slug]-[YYYY-MM-DD].md - File Format: Markdown with clear sections and headers
- Naming Convention: Use lowercase, hyphenated topic slug and current date
Example: research/research-brief-remote-work-productivity-2024-01-15.md
This ensures all research briefs are systematically stored and easily referenced for future writing projects.
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 · 43 lines · 0 tokens per session scan A 316bacde0ccc
research 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 445 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.
research compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| researchWomenDefiningAI/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 |