open-science-skills: Agentic skills for Claude Code and Codex, built from published social-science methods sources

by scdenney · Claude Skill · ★ 69

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

How to install open-science-skills

claude plugin install oss@open-science-skills
claude plugin install oss@open-science-skills --scope project

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

Security audit verdict: SAFE · quality 65/100

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.

anthropicclaude-codeclaude-code-skillsconjointexperimental-researchfairlist-experimentliterature-reviewmanuscript-qamethods-reporting

Quick Facts

Stars69
Forks3
LanguageMarkdown
CategoryClaude Skill
Quality Score65/100
Last Updated2026-10-22
Created2026-01-21
Platformsclaude-code, codex
Est. Tokens~20k

About open-science-skills

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.

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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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