No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by scdenney · Claude Skill · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-science-skills safe to install? View the security audit →
Open Science Skills A library of Claude Code skills for experimental social science, computational text analysis, manuscript QA, and transparent reporting. Install as a plugin and you get help across the workflow — research design, analysis, citation and figure/table audits, replication-package scaffolding, and pre-submission review. All 28 skills auto-trigger from prompt context and are also available as explicit slash commands. The prefix can be omitted when no other installed plugin claims the same name.
| Stars | 55 |
| Forks | 3 |
| Language | Markdown |
| Category | Claude Skill |
| Quality Score | 65.1298042913666/100 |
| Last Updated | 2026-09-09 |
| Created | 2026-01-21 |
| Platforms | claude-code, codex |
| Est. Tokens | ~20k |
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open-science-skills is Agentic skills for Claude Code and Codex, built from published social-science methods sources. Covers experimental design, computational text analysis, manuscript QA, and transparent reporting.. It is categorized as a Claude Skill with 55 GitHub stars.
open-science-skills is primarily written in Markdown. It covers topics such as anthropic, claude-code, claude-code-skills.
You can find installation instructions and usage details in the open-science-skills GitHub repository at github.com/scdenney/open-science-skills. The project has 55 stars and 3 forks, indicating an active community.
The top alternatives to open-science-skills on Agent Skills Hub include ai4s-skills, dev-agent-skills, awesome-claude-skills. 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: