claude-scientific-writer: A general purpose scientific writer

by K-Dense-AI · Claude Skill · ★ 2.6k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install claude-scientific-writer

git clone https://github.com/K-Dense-AI/claude-scientific-writer.git
/plugin marketplace add https://github.com/K-Dense-AI/claude-scientific-writer

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 74/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsanthropicclaudeskillstoolswriter

Quick Facts

Stars2,559
Forks298
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score74/100
Open Issues11
Last Updated2026-11-07
Created2025-10-27
Platformsclaude-code, python
Est. Tokens~21k

About claude-scientific-writer

Claude Scientific Writer 🚀 Looking for more advanced capabilities? For end-to-end scientiic writing, deep scientfic search, advanced image generation and enterprise solutions, visit www.k-dense.ai Stay up to date: Follow K-Dense on X, LinkedIn, and YouTube for new features, release announcements, walkthroughs, research workflow demos, and examples you can use with Scientific Writer.

Compatible Skills

These tools work well together with claude-scientific-writer for enhanced workflows:

  • ai-manus — semantic(0.42)+complementary+same_lang+similar_pop+shared_platform (60%)
  • AIlice — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • raptor — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
  • claude-skills — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • awesome-llm-skills — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (50%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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