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open-science-skills

Skill Development Poor
Works inClaude Code
Poor Scanned — metadata only

Embeds reproducible research methodology into AI agents, reducing documentation gaps and ensuring experimental work meets publication standards without manua…

A library of Agentic Skills for Claude Code and LLM agents, codified from social science standards and methodological texts for doing experimental and other kinds of work.

34 starsFree
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Embeds reproducible research methodology into AI agents, reducing documentation gaps and ensuring experimental work meets publication standards without manual compliance overhead.

Research-driven teams and academic consultants implementing AI-assisted experimental design and data analysis workflows.

Claude Code Claude Cowork Claude Chat

https://github.com/scdenney/open-science-skills

By scdenney

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install scdenney/open-science-skills

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Design a randomized controlled trial protocol following established social science standards
CostFree

Trust Signals Auto-scanned

Stars34Contributors1Last updated2026-07-25Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 34 GitHub stars; 1 contributors; last commit 0d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.05 / 5.00 PoorEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 34 GitHub stars; 1 contributors; last commit 0d ago; license no license.

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