scientific-critical-thinking

A framework for judging scientific claims by examining study design, statistics, evidence quality, bias, and factors that could distort results.

In plain words
What is it for?
Use it to assess experiments and research papers, identify bias and confounding factors, review evidence, or apply GRADE and Cochrane risk-of-bias methods.
Why use it?
It helps reveal whether research conclusions are well supported rather than accepting claims at face value.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/xintaofei/codeg/scientific-critical-thinking
Any agent
npx skills add xintaofei/codeg --skill scientific-critical-thinking
Clone the repo
git clone --depth 1 https://github.com/xintaofei/codeg

Made for: Claude Code, Codex.

Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,801 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00063 $0.04801
Opus 5 $0.00032 $0.02400
Sonnet 5 $0.00013 $0.00960
Haiku 4.5 $0.00006 $0.00480

Measured yesterday against content hash bca80d1de7c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

scientific-critical-thinking scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

7 near-identical copies found in the catalogue:

src-tauri/science/skills/scientific-critical-thinking/SKILL.md · 560 lines

How it starts

The opening of the file, as written. The whole thing — 560 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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-generated diagrams from a natural-language description
  • Alternative: Build figures in your usual tools (draw.io, PowerPoint, matplotlib, etc.)

From the scientific-schematics skill directory, with OPENROUTER_API_KEY set:

python scripts/generate_schematic.py "GRADE evidence assessment flowchart with downgrade and upgrade factors" -o figures/grade_flowchart.png --doc-type report

Disclosure: AI schematic generation sends your prompt to OpenRouter (a third-party API). Do not include unpublished sensitive details unless that transmission is appropriate for your project.


Core Capabilities

1. Methodology Critique

Evaluate research methodology for rigor, validity, and potential flaws.

Apply when:

  • Reviewing research papers
  • Assessing experimental designs
  • Evaluating study protocols
  • Planning new research

Read the full file on GitHub · 560 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 560 lines · 63 tokens per session scan A bca80d1de7c4

Subscribe to this mod's changes

scientific-critical-thinking is a skill published in the GitHub repository xintaofei/codeg (3,066 stars, last pushed 3d ago), licensed Apache-2.0. It adds 63 tokens to every session and 4,801 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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