Research

Evaluate scientific evidence

Examine claims, confounders, bias, and the strength of scientific evidence.

K-Dense · MIT

What you can do

  • Examine claims, confounders, bias, and the strength of scientific evidence.

Before you start

  • Source papers or study descriptions; core analysis does not require network access.

Try your first task

After installing, send this example to your AI tool.

Use scientific-critical-thinking. Evaluate this study’s claim and explain which design choices weaken causal interpretation.

What to look for

A structured evidence critique with assumptions and unanswered questions.

Keep in mind

  • Optional diagrams refer to a separate scientific-schematics Skill and OpenRouter credentials, not bundled here.

Open source, traceable origins

Source, license, and package contents have been reviewed. End-to-end tasks have not been verified across agents; examples describe expected results.

Source reviewed:

FAQ

Agent Skills FAQ

Practical answers for choosing, installing, and using your first skill.

How do I install and start using Evaluate scientific evidence?

Download the complete ZIP and keep the scientific-critical-thinking folder and supporting files together. For a project installation, use .claude/skills/scientific-critical-thinking/ in Claude Code or .agents/skills/scientific-critical-thinking/ in Codex, with SKILL.md directly inside it. Complete this page's prerequisites, confirm discovery, and start with the example in the first-task card.

What do I need to use Evaluate scientific evidence?

Source papers or study descriptions; core analysis does not require network access.

Can I use these Skills with Chinese requests?

You can ask an agent that supports Chinese to work with Chinese materials and produce Chinese output. Specify the desired language, audience, and terminology in your request. Results depend on the agent and skill, so check the output against your task requirements.

Who created this skill and which license is included?

The original author is K-Dense, from K-Dense-AI/scientific-agent-skills, with the MIT license included. AILesson preserves the files and source version, and GitHub Releases provides the download. Use the source card to inspect the pinned version and original files.

Have all Skills been tested, and what should I review?

The current collection has source, license, and package-content checks. It does not claim that every skill has completed real tasks in every agent. Review the files and prerequisites before enabling a skill, and check facts, citations, generated code, and proposed actions in its output. The examples describe expected results rather than verified demonstrations.