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scientific-agent-skills

Skill Documents & Content Recommended

A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.

18,260 starsMIT (commercial OK)FreeQuick setup

Research and engineering workflows require domain-specific precision that generic AI skills miss — this collection provides ready-to-use agent skills covering research methodology, data analysis, financial modeling, and technical writing.

Researchers, engineers, and analysts who need Claude to follow domain-specific methodologies for scientific analysis, financial modeling, and technical documentation.

Claude Code Claude Cowork Claude Chat

https://github.com/K-Dense-AI/scientific-agent-skills

By K-Dense-AI

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 K-Dense-AI/scientific-agent-skills

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

CostFree

Trust Signals Auto-scanned

Stars18,260Contributors32Last updated2026-04-13LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-13 · scanner v1

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Discussed on Reddit

10 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 18,260 GitHub stars; 32 contributors; last commit 37d ago; license MIT.

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
4/5
Versatility
5/5
Reliability
5/5
Security
4/5
Overall score4.50 / 5.00 RecommendedEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 18,260 GitHub stars; 32 contributors; last commit 37d ago; license MIT.

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