Codeg is a collaborative workspace that brings multiple AI coding agents and their sessions into one searchable application. Developers use it to coordinate agents, delegate work, and review unattended coding tasks across desktop, server, Docker, and mobile clients. The catalogue entries are skills and instructions for workflows within Codeg.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/xintaofei/codegnpx agentmods add skills/xintaofei/codeg/scientific-critical-thinkingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xintaofei/codeg/scientific-critical-thinking)<a href="https://agentmods.dev/skills/xintaofei/codeg/scientific-critical-thinking"><img src="https://agentmods.dev/badge/skills/xintaofei/codeg/scientific-critical-thinking/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xintaofei/codeg/scientific-critical-thinking"><img src="https://agentmods.dev/badge/skills/xintaofei/codeg/scientific-critical-thinking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.04801 |
| Opus 5.5 | $0.00025 | $0.01920 |
| Sonnet 5.5 | $0.00013 | $0.00960 |
| Haiku 4.5 | $0.00006 | $0.00480 |
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 1mo ago.
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.
Copies of this mod
8 near-identical copies found in the catalogue:
- scientific-critical-thinking — 100% identical, 4 lines differ
- scientific-critical-thinking — 100% identical, 0 lines differ
- scientific-critical-thinking — 100% identical, 0 lines differ
- scientific-critical-thinking — 94% identical, 34 lines differ
- scientific-critical-thinking — 94% identical, 33 lines differ
- scientific-critical-thinking — 94% identical, 45 lines differ
- scientific-critical-thinking — 92% identical, 47 lines differ
- scientific-critical-thinking — 92% identical, 66 lines differ
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
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.
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.
- 1mo ago First seen · 560 lines · 63 tokens per session scan A bca80d1de7c4
scientific-critical-thinking is a skill published in the GitHub repository xintaofei/codeg (3,887 stars, last pushed 5d ago), licensed Apache-2.0. It adds 63 tokens to every session and 4,801 once invoked, about $0.0003 per session on Opus 5.5. 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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