Agent skill · Code Review & Quality

scientific-critical-thinking

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

K-Dense-AIgithub.com/K-Dense-AIGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add K-Dense-AI/claude-scientific-writer --skill scientific-critical-thinking --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 9 KB
Bundled scripts: none
Version: 1.2
Allowed tools: ReadWriteEdit
Requires: Analytical guidance needs no network. Optional figures via the scientific-schematics skill require OPENROUTER_API_KEY…
Path: skills/scientific-critical-thinking/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,169
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Scientific Critical Thinking ## Overview Critical thinking is a systematic process for evaluating scientific rigor. Assess methodology, experimental design, statistical validity, biases, confounding, and evidence quality using GRADE and Cochrane ROB frameworks. Apply this skill for critical analysis of scientific claims. ## When to Use This Skill This skill should be used when: - Evaluating research methodology and experimental design - Assessing statistical validity and evidence quality - Identifying biases and confounding in studies - Reviewing scientific claims and conclusions - Conducting systematic reviews or meta-analyses - Applying GRADE or Cochrane risk of bias assessments - Providing critical analysis of research papers ## Visual Aids (Optional) Only add figures when the **user explicitly requests** a diagram (for example, a GRADE flowchart, bias decision tree, or evidence-quality framework). **When figures help:** - Critical thinking framework diagrams - Bias identification decision trees - Evidence quality assessment flowcharts - GRADE or risk-of-bias evaluation frameworks **How to create figures:** - **Preferred:** Use the **scientific-schematics** skill for AI-genera

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Visual Aids (Optional)
  4. Core Capabilities
  5. Application Guidelines
  6. General Approach
  7. When Providing Critique
  8. When Uncertain
  9. Reference Materials
  10. Remember
Ships with 7 files
  • references/common_biases.md
  • references/core_capabilities.md
  • references/evidence_hierarchy.md
  • references/experimental_design.md
  • references/logical_fallacies.md
  • references/scientific_method.md
  • references/statistical_pitfalls.md
Commands it runs
python scripts/generate_schematic.py "GRADE evidence assessment flowchart with downgrade and upgrade factors" -o figures/grade_flowchart.png --doc-type report
More from claude-scientific-writer
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About this skill
What does the scientific-critical-thinking skill do?

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

How do I install it?

Run `npx skills add K-Dense-AI/claude-scientific-writer --skill scientific-critical-thinking --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From K-Dense-AI/claude-scientific-writer, a repository with 2,169 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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