Scientific Critical Thinking
weapp-tailwindcss/weapp-tailwindcss
Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and…
$ npx skills add spacering-net/codeg --skill scholar-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install spacering-net/codeg scholar-evaluation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/spacering-net/codeg.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src-tauri/science/skills/scholar-evaluation .claude/skills/scholar-evaluation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "scholar-evaluation" agent skill from https://github.com/spacering-net/codeg/tree/main/src-tauri/science/skills/scholar-evaluation into .claude/skills/scholar-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-evaluation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/spacering-net/codeg/tree/main/src-tauri/science/skills/scholar-evaluationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add spacering-net/codeg --skill scholar-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install spacering-net/codeg scholar-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spacering-net/codeg.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src-tauri/science/skills/scholar-evaluation .agents/skills/scholar-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scholar-evaluation" agent skill from https://github.com/spacering-net/codeg/tree/main/src-tauri/science/skills/scholar-evaluation into .agents/skills/scholar-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-evaluation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add spacering-net/codeg --skill scholar-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install spacering-net/codeg scholar-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spacering-net/codeg.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src-tauri/science/skills/scholar-evaluation .cursor/skills/scholar-evaluation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scholar-evaluation" agent skill from https://github.com/spacering-net/codeg/tree/main/src-tauri/science/skills/scholar-evaluation into .cursor/skills/scholar-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-evaluation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/spacering-net/codeg.git --path src-tauri/science/skills/scholar-evaluation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add spacering-net/codeg --skill scholar-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install spacering-net/codeg scholar-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spacering-net/codeg.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src-tauri/science/skills/scholar-evaluation .gemini/skills/scholar-evaluation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scholar-evaluation" agent skill from https://github.com/spacering-net/codeg/tree/main/src-tauri/science/skills/scholar-evaluation into .gemini/skills/scholar-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-evaluation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install spacering-net/codeg scholar-evaluationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add spacering-net/codeg --skill scholar-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/spacering-net/codeg.git skills-src && mkdir -p .github/skills && cp -r skills-src/src-tauri/science/skills/scholar-evaluation .github/skills/scholar-evaluation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scholar-evaluation" agent skill from https://github.com/spacering-net/codeg/tree/main/src-tauri/science/skills/scholar-evaluation into .github/skills/scholar-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-evaluation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add spacering-net/codeg --skill scholar-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install spacering-net/codeg scholar-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spacering-net/codeg.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src-tauri/science/skills/scholar-evaluation .opencode/skills/scholar-evaluation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scholar-evaluation" agent skill from https://github.com/spacering-net/codeg/tree/main/src-tauri/science/skills/scholar-evaluation into .opencode/skills/scholar-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-evaluation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
scholar-evaluationSystematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and…
Scholar Evaluation is an agent skill from spacering-net/codeg. Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/evaluation_framework.md`, `scripts/calculate_scores.py` and `scripts/generate_schematic.py`).
It sits in Research & Science, covering Peer review and Data visualization. The repository describes itself as: Collaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, Pi, Grok Build, etc. Desktop app, self-hosted server, or Docker. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 592131c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
arxiv.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Scholar Evaluation loads about 3.2k tokens when it runs, and up to ~8.1k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 1,335 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from spacering-net/codeg at commit 592131c, republished under its MIT licence (© spacering-net). 1,335 words, ~3,159 tokens.
.claude/skills/scholar-evaluation/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Apply the ScholarEval framework to systematically evaluate scholarly and research work. This skill provides structured evaluation methodology based on peer-reviewed research assessment criteria, enabling comprehensive analysis of academic papers, research proposals, literature reviews, and scholarly writing across multiple quality dimensions.
Use this skill when:
When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.
If your document does not already contain schematics or diagrams:
For new documents: Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.
How to generate schematics:
python scripts/generate_schematic.py "your diagram description" -o figures/output.pngThe AI will automatically:
When to add schematics:
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
Begin by identifying the type of scholarly work being evaluated and the evaluation scope:
Work Types:
Evaluation Scope:
Ask the user to clarify if the scope is ambiguous.
Systematically evaluate the work across the ScholarEval dimensions. For each applicable dimension, assess quality, identify strengths and weaknesses, and provide scores where appropriate.
Refer to references/evaluation_framework.md for detailed criteria and rubrics for each dimension.
Core Evaluation Dimensions:
Problem Formulation & Research Questions
Literature Review
Methodology & Research Design
Data Collection & Sources
Analysis & Interpretation
Results & Findings
Scholarly Writing & Presentation
Citations & References
For each evaluated dimension, provide:
Qualitative Assessment:
Quantitative Scoring (Optional): Use a 5-point scale where applicable:
To calculate aggregate scores programmatically, use scripts/calculate_scores.py.
Provide an integrated evaluation summary:
Transform evaluation findings into constructive, actionable feedback:
Feedback Structure:
Feedback Format Options:
Adjust evaluation approach based on:
Stage of Development:
Purpose and Venue:
Discipline-Specific Norms:
Detailed evaluation criteria, rubrics, and quality indicators for each ScholarEval dimension. Load this reference when conducting evaluations to access specific assessment guidelines and scoring rubrics.
Search patterns for quick access:
Python script for calculating aggregate evaluation scores from dimension-level ratings. Supports weighted averaging, threshold analysis, and score visualization.
Usage:
python scripts/calculate_scores.py --scores <dimension_scores.json> --output <report.txt>User Request: "Evaluate this research paper on machine learning for drug discovery"
Response Process:
references/evaluation_framework.md for detailed criteriaThis skill integrates seamlessly with the scientific writer workflow:
After Paper Generation:
SCHOLAR_EVALUATION.md alongside PEER_REVIEW.mdDuring Revision:
Publication Preparation:
This skill is based on the ScholarEval framework introduced in:
Moussa, H. N., Da Silva, P. Q., Adu-Ampratwum, D., East, A., Lu, Z., Puccetti, N., Xue, M., Sun, H., Majumder, B. P., & Kumar, S. (2025). ScholarEval: Research Idea Evaluation Grounded in Literature. arXiv preprint arXiv:2510.16234. https://arxiv.org/abs/2510.16234
Abstract: ScholarEval is a retrieval augmented evaluation framework that assesses research ideas based on two fundamental criteria: soundness (the empirical validity of proposed methods based on existing literature) and contribution (the degree of advancement made by the idea across different dimensions relative to prior research). The framework achieves significantly higher coverage of expert-annotated evaluation points and is consistently preferred over baseline systems in terms of evaluation actionability, depth, and evidence support.
© spacering-net, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references) in src-tauri/science/skills/scholar-evaluation of spacering-net/codeg.
Open the folder on GitHubat commit 592131c
We found 20 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 12 other GitHub owners. This page covers the copy in spacering-net/codeg, which our catalogue first saw on October 7, 2026.
Scholar Evaluation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scholar Evaluation this skillspacering-net/codeg | 3.8k | 12 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss | 1.9k | 23 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Nature-Style Scientific FiguresYuan1z0825/nature-skills | 46k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| LLM Counciltenfoldmarc/llm-council-skill | 819 | 2 repos | ~4.2k | Automated safety check: Pass | None | |
| Academic Paper ReviewerImbad0202/academic-research-skills | 51k | — | ~11k | Automated safety check: Pass | Custom licence |
weapp-tailwindcss/weapp-tailwindcss
Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.
Yuan1z0825/nature-skills
Creates, revises, audits and exports manuscript-ready scientific figures in Python or R, and routes AI-generated graphical abstracts to a separate workflow.
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
tenfoldmarc/llm-council-skill
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
Imbad0202/academic-research-skills
Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
spacering-net/codeg
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting.
spacering-net/codeg
Sample-size and statistical power calculations for planning studies.
spacering-net/codeg
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement.
Categories
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and…. Scholar Evaluation is an agent skill from spacering-net/codeg. Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.
Scholar Evaluation fits situations like: tasks that involve Peer review; tasks that involve Data visualization.
Run `npx skills add spacering-net/codeg --skill scholar-evaluation -a claude-code`. Or copy the skill folder (src-tauri/science/skills/scholar-evaluation in spacering-net/codeg) into .claude/skills/scholar-evaluation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add spacering-net/codeg --skill scholar-evaluation -a codex`. Or copy the skill folder (src-tauri/science/skills/scholar-evaluation in spacering-net/codeg) into .agents/skills/scholar-evaluation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add spacering-net/codeg --skill scholar-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scholar-evaluation, .gemini/skills/scholar-evaluation, .github/skills/scholar-evaluation and .opencode/skills/scholar-evaluation in your project.
Going by SKILL.md and its folder, Scholar Evaluation needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; A credential in OPENROUTER_API_KEY.
SKILL.md names 1 domain. As links in the text: arxiv.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Scholar Evaluation is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Scholar Evaluation: Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Nature-Style Scientific Figures (Yuan1z0825/nature-skills, 46k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and LLM Council (tenfoldmarc/llm-council-skill, 819 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
spacering-net (a GitHub organization) maintains it in spacering-net/codeg, which has 3,848 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 7, 2026.
Source: spacering-net/codeg on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.