by Yila-AI · Codex Skill · ★ 90
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Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—while preserving evidence, citations, and claim strength.
| Stars | 90 |
| Forks | 8 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 55.2848907958065/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-04 |
| Created | 2026-07-17 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~13k |
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sci-ssci-skills is Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—while preserving evidence, citations, and claim strength.. It is categorized as a Codex Skill with 90 GitHub stars.
sci-ssci-skills is primarily written in Python. It covers topics such as academic-writing, agent-skills, ai-research.
You can find installation instructions and usage details in the sci-ssci-skills GitHub repository at github.com/Yila-AI/sci-ssci-skills. The project has 90 stars and 8 forks, indicating an active community.
sci-ssci-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to sci-ssci-skills on Agent Skills Hub include agent-skills, latex-arxiv-SKILL, research-writing-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: