Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
A skill your agent uses when reviewing mathematical validity, evidence, reproducibility, figures or a submission draft.
Install Mathodology Award Gates
$ npx skills add sweetcornna/mathodology --skill mathodology-award-gates -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sweetcornna/mathodology mathodology-award-gates --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/sweetcornna/mathodology.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/mathodology-award-gates .claude/skills/mathodology-award-gates && 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 "mathodology-award-gates" agent skill from https://github.com/sweetcornna/mathodology/tree/main/.claude/skills/mathodology-award-gates into .claude/skills/mathodology-award-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathodology-award-gates", 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/sweetcornna/mathodology/tree/main/.claude/skills/mathodology-award-gatesType 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 sweetcornna/mathodology --skill mathodology-award-gates -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sweetcornna/mathodology mathodology-award-gates --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sweetcornna/mathodology.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/mathodology-award-gates .agents/skills/mathodology-award-gates && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mathodology-award-gates" agent skill from https://github.com/sweetcornna/mathodology/tree/main/.claude/skills/mathodology-award-gates into .agents/skills/mathodology-award-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathodology-award-gates", 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 sweetcornna/mathodology --skill mathodology-award-gates -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sweetcornna/mathodology mathodology-award-gates --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sweetcornna/mathodology.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/mathodology-award-gates .cursor/skills/mathodology-award-gates && 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 "mathodology-award-gates" agent skill from https://github.com/sweetcornna/mathodology/tree/main/.claude/skills/mathodology-award-gates into .cursor/skills/mathodology-award-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathodology-award-gates", 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/sweetcornna/mathodology.git --path .claude/skills/mathodology-award-gates--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 sweetcornna/mathodology --skill mathodology-award-gates -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sweetcornna/mathodology mathodology-award-gates --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sweetcornna/mathodology.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/mathodology-award-gates .gemini/skills/mathodology-award-gates && 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 "mathodology-award-gates" agent skill from https://github.com/sweetcornna/mathodology/tree/main/.claude/skills/mathodology-award-gates into .gemini/skills/mathodology-award-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathodology-award-gates", 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 sweetcornna/mathodology mathodology-award-gatesInstalls 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 sweetcornna/mathodology --skill mathodology-award-gates -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sweetcornna/mathodology.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/mathodology-award-gates .github/skills/mathodology-award-gates && 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 "mathodology-award-gates" agent skill from https://github.com/sweetcornna/mathodology/tree/main/.claude/skills/mathodology-award-gates into .github/skills/mathodology-award-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathodology-award-gates", 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 sweetcornna/mathodology --skill mathodology-award-gates -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sweetcornna/mathodology mathodology-award-gates --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sweetcornna/mathodology.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/mathodology-award-gates .opencode/skills/mathodology-award-gates && 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 "mathodology-award-gates" agent skill from https://github.com/sweetcornna/mathodology/tree/main/.claude/skills/mathodology-award-gates into .opencode/skills/mathodology-award-gates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mathodology-award-gates", 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.
Facts
- Skill name
mathodology-award-gates- GitHub stars
- 305
- Token cost
- ~709 tokens
- SKILL.md length
- 348 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when reviewing mathematical validity, evidence, reproducibility, figures or a submission draft.
- Reviewing mathematical validity
- SKILL.md covers Mathematical and empirical…, Figures and paper and Useful review output
- Runs Python scripts from its folder; calls python3
- Reproducibility
What it does
Mathodology Award Gates is an agent skill from sweetcornna/mathodology. Use when reviewing mathematical validity, evidence, reproducibility, figures or a submission draft.
Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `agents/openai.yaml` and `scripts/make_contact_sheet.py`).
It sits in Research & Science, covering Reproducible research. The repository describes itself as: 专为数学建模竞赛设计的数模 Agent Skills：MCM/ICM 美赛、CUMCM 国赛、华数杯、M3、HiMCM 等，面向 Claude Code 与 Codex 的获奖级建模工作流。Math modeling contest skills for Claude Code & Codex. The licence is MIT.
When your agent uses it
- Reviewing mathematical validity
- Reproducibility
- A submission draft
Example prompts
- “/mathodology-award-gates”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 0cfcd93. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Mathodology Award Gates loads about 709 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 348 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from sweetcornna/mathodology at commit 0cfcd93, republished under its MIT licence (© sweetcornna). 348 words, ~709 tokens.
Download SKILL.mdSave it as
.claude/skills/mathodology-award-gates/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- mathodology-award-gates
- description
- Use when reviewing mathematical validity, evidence, reproducibility, figures or a submission draft.
Mathodology Review Questions
The legacy skill name is retained for discovery. Review the substance of the work; do not estimate awards from invented numeric thresholds or require a particular handoff format. Scale review to the claims and the deadline.
Mathematical and empirical questions
- Does the solution answer every required question and represent its essential mechanisms?
- Are equations, units, constraints and limiting cases consistent? Is the solution feasible?
- Can the parameters be identified from the available observations?
- Does the described method match the code, including preprocessing and exclusions?
- Is a reported advantage measured against an appropriate baseline on comparable data?
- Are fitting, tuning and evaluation separated where the claim requires it?
- Are outcomes forced by normalization or constraints labeled as such?
- Could plausible changes to important assumptions reverse the recommendation?
- Are confidence intervals, predictive intervals and simulation variability distinguished?
- Can reported numbers be traced to data, code, a derivation or a stated assumption?
- Are evidence gaps, failed runs and material limitations disclosed?
Use relevant questions, not every possible test. When scenarios share comparable random inputs, paired simulations may improve precision; explain the coupling. Use Monte Carlo uncertainty for estimated probabilities, and disclose the number of simulations. Do not claim proof from a handful of successful runs.
Figures and paper
Load figure presets. Read figures at the size used in the final document. Check labels, uncertainty definitions, legends, color scales and captions against the underlying results. Inspect dense pages of the compiled PDF as well as individual exports. Image2 imagery must remain consistent with the mechanism; generated pixels are not quantitative evidence.
The optional PDF overview utility requires Poppler's pdftoppm and Matplotlib. It creates a page overview for visual review:
python3 .claude/skills/mathodology-award-gates/scripts/make_contact_sheet.py solution.pdf -o overview.pngAn overview helps find layout problems; zoom into dense pages to judge actual legibility. A successful render is not a certificate of quality.
Useful review output
Explain each material issue, its evidence, its effect on the conclusion and a concrete fix. Distinguish errors from optional improvements. Correct consequential errors before relying on the result; disclose unresolved uncertainty. Never require the user to approve routine fixes or invent a scoring ceremony.
© sweetcornna, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts) in .claude/skills/mathodology-award-gates of sweetcornna/mathodology.
- SKILL.md
- agents/openai.yaml
- scripts/make_contact_sheet.py
Open the folder on GitHubat commit 0cfcd93
Compare with similar skills
Mathodology Award Gates 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 |
|---|---|---|---|---|---|---|
| Mathodology Award Gates this skillsweetcornna/mathodology | 305 | — | ~709 | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
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Figure Style
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Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
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Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
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Mathodology Whole Project
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Mathodology Dev Test Release
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Mathodology Agent Pipeline
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Related
Categories
Questions about Mathodology Award Gates
What does Mathodology Award Gates do?
A skill your agent uses when reviewing mathematical validity, evidence, reproducibility, figures or a submission draft. Mathodology Award Gates is an agent skill from sweetcornna/mathodology. Use when reviewing mathematical validity, evidence, reproducibility, figures or a submission draft.
When should I use Mathodology Award Gates?
Mathodology Award Gates fits situations like: reviewing mathematical validity; reproducibility; A submission draft.
How do I install Mathodology Award Gates in Claude Code?
Run `npx skills add sweetcornna/mathodology --skill mathodology-award-gates -a claude-code`. Or copy the skill folder (.claude/skills/mathodology-award-gates in sweetcornna/mathodology) into .claude/skills/mathodology-award-gates in your project. Claude Code loads it when a task matches its description.
How do I install Mathodology Award Gates in Codex?
Run `npx skills add sweetcornna/mathodology --skill mathodology-award-gates -a codex`. Or copy the skill folder (.claude/skills/mathodology-award-gates in sweetcornna/mathodology) into .agents/skills/mathodology-award-gates in your project. Codex loads it when a task matches its description.
Can I use Mathodology Award Gates in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sweetcornna/mathodology --skill mathodology-award-gates -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mathodology-award-gates, .gemini/skills/mathodology-award-gates, .github/skills/mathodology-award-gates and .opencode/skills/mathodology-award-gates in your project.
What does Mathodology Award Gates need to run?
Going by SKILL.md and its folder, Mathodology Award Gates needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Mathodology Award Gates access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Mathodology Award Gates safe to install?
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.
What licence does Mathodology Award Gates use?
Mathodology Award Gates is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Mathodology Award Gates use?
About 709 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Mathodology Award Gates?
Skills that share tags, products or a category with Mathodology Award Gates: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mathodology Award Gates?
sweetcornna (a GitHub user) maintains it in sweetcornna/mathodology, which has 305 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 7, 2026.
Source: sweetcornna/mathodology on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.