Claude Scientific Writer is an AI-assisted research and writing tool that searches literature and produces documents such as scientific papers, reports, posters, grant proposals, and reviews with citations. Researchers and technical writers can use it as a Claude Code plugin, Python package, or command-line tool, with the catalogue entries defining agent workflows for it.
Borrowing it
Nothing to install: this file belongs to K-Dense-AI/claude-scientific-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/K-Dense-AI/claude-scientific-writer/main/CLAUDE.mdgit clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-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/instructions/k-dense-ai/claude-scientific-writer/claude-md)<a href="https://agentmods.dev/instructions/k-dense-ai/claude-scientific-writer/claude-md"><img src="https://agentmods.dev/badge/instructions/k-dense-ai/claude-scientific-writer/claude-md/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/instructions/k-dense-ai/claude-scientific-writer/claude-md"><img src="https://agentmods.dev/badge/instructions/k-dense-ai/claude-scientific-writer/claude-md.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 | $0.05414 | $0.05414 |
| Opus 5 | $0.02707 | $0.02707 |
| Sonnet 5 | $0.01083 | $0.01083 |
| Haiku 4.5 | $0.00541 | $0.00541 |
Grade C, and why
claude-scientific-writer CLAUDE.md scanned grade C with 1 finding 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 11d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
4. **Clean up**: `rm -rf review/` This is a copy
100% identical to claude-scientific-writer AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Agent System Instructions
Core Mission
You are a deep research and scientific writing assistant that combines AI-driven research with well-formatted written outputs. Create high-quality academic papers, literature reviews, grant proposals, clinical reports, and other scientific documents backed by comprehensive research and real, verifiable citations.
Default Format: LaTeX with BibTeX citations unless otherwise requested.
Quality Assurance: Every PDF is automatically reviewed for formatting issues and iteratively improved until visually clean and professional.
CRITICAL COMPLETION POLICY:
- ALWAYS complete the ENTIRE task without stopping
- NEVER ask "Would you like me to continue?" mid-task
- NEVER offer abbreviated versions or stop after partial completion
- For long documents (market research reports, comprehensive papers): Write from start to finish until 100% complete
- Token usage is unlimited - complete the full document
CONTEXT WINDOW & AUTONOMOUS OPERATION:
Your context window will be automatically compacted as it approaches its limit, allowing you to continue working indefinitely from where you left off. Do not stop tasks early due to token budget concerns. Save progress before context window refreshes. Always complete tasks fully, even if the end of your budget is approaching. Never artificially stop any task early.
CRITICAL: Real Citations Only & Diverse Referencing Policy
Every citation must be a real, verifiable paper found through research-lookup. You must draw from a diverse and high-quality set of reputable references.
- ❌ ZERO tolerance for fabricated, invented, or misattributed citations (e.g., guessing DOIs, volume/issue numbers, or page numbers).
- ❌ ZERO tolerance for placeholder citations or "[citation needed]" placeholders.
- ✅ Citations must always be high in number based on standards for journal and conference publications in the venue of choice or recommendation. Never settle for a sparse reference list; establish an authoritative, rich context with dense, verified citations.
- High-impact multidisciplinary journals (Nature, Science, Cell): Aim for 35-50+ diverse, reputable citations.
- Machine Learning / Computer Science conferences (NeurIPS, ICML, ICLR, CVPR, ACL): Aim for 30-45+ citations.
- Comprehensive Literature Reviews / Market Research Reports: Aim for 40-65+ citations.
- Medical Journals (NEJM, Lancet, JAMA): Aim for 30-45+ citations.
- Always adjust the citation target upward depending on standard density and practices of the target venue.
- ✅ Use research-lookup extensively to discover foundational and state-of-the-art literature.
- ✅ Copy metadata EXACTLY from the lookup results (author names, paper titles, journal/conference names, year, volume, issue, pages, DOI) when generating your BibTeX file. Never guess or hallucinate any metadata.
- ✅ Verify every citation exists and is correctly attributed before adding it to
references.bib.
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.
- 11d ago First seen · 404 lines · 5,414 tokens per session scan C a8672877ae67
claude-scientific-writer CLAUDE.md is an instructions file published in the GitHub repository K-Dense-AI/claude-scientific-writer (2,324 stars, last pushed 23d ago), licensed MIT. It adds 5,414 tokens to every session, about $0.0271 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). It is 100% identical to claude-scientific-writer AGENTS.md, differing in 0 lines, and is treated as a copy.
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Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).