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QualityPython

Mathodology Repository Checks

by sweetcornna

Mathodology Repository Checks is a Quality skill for Claude Code, published by sweetcornna in mathodology.

179 stars9 forkson sweetcornna/mathodologyAdded 2026/09/07+18% in starsRepository updated 2026/09/07
agent-skillsai-codingclaude-codecodex
Install in seconds
Install Mathodology Repository Checks
Copy Mathodology Repository Checks into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/sweetcornna/mathodology/tree/main/.claude/skills/mathodology-dev-test-release ~/.claude/skills/mathodology-dev-test-release

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/sweetcornna/mathodology.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
.claude/skills/mathodology-dev-test-release/SKILL.md in sweetcornna/mathodology
Installs to
~/.claude/skills/mathodology-dev-test-release
Collection
One of 8 skills cataloged from this repository
Category
Quality โ€” 1817 skills

What Mathodology Repository Checks does

Mathodology Repository Checks validates skill metadata, local links, repository boundaries, and known skill references from a checkout or source export. Use it when checking repository hygiene or preparing an explicit skills release.

Mathodology Repository Checks is cataloged under Quality on DirSkills. Mathodology Repository Checks comes from a repository tagged agent-skills, ai-coding, claude-code and codex.

Documentation

README

Mathodology Repository Checks

Repository maintenance checks are optional utilities; they do not run during modeling by default and cannot establish mathematical or editorial quality.

From a repository checkout, run:

python3 .claude/skills/mathodology-dev-test-release/scripts/validate_repo.py all

The standard-library checker covers skill/role metadata, local Markdown links, known skill references and allowed repository paths. Individual commands are metadata, links, boundary and selftest. It supports a source export without Git; in a checkout it also inspects tracked paths. It does not enforce document heading counts, search wording, updater contracts or contest run schemas.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Mathodology Repository Checks

  • What else does sweetcornna publish alongside Mathodology Repository Checks?

    Mathodology Repository Checks is one of 8 skills that DirSkills catalogs from sweetcornna/mathodology, the repository it ships in. Its siblings there include Mathodology Award Gates, Mathodology Evidence Search and Mathodology Figure Presets. Each one is a separate skill with its own page in this directory, installs the same way Mathodology Repository Checks does, and is maintained by sweetcornna in that same repository. The rest of the collection is listed on the sweetcornna/mathodology page.

  • How does Mathodology Repository Checks compare to other Quality skills?

    Mathodology Repository Checks ranks #1679 by stars among the 1817 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Mathodology Repository Checks against them. Open each page to compare what they document and how they install.

More from sweetcornna/mathodology

Mathodology Repository Checks is one of 8 skills cataloged on DirSkills from sweetcornna/mathodology.

See all 8 skills โ†’
๐Ÿ“
2h ago

Mathodology Award Gates

Mathodology Award Gates reviews mathematical validity, evidence, reproducibility, and figures in a submission draft. Use it when checking claims, methods, uncertainty, or whether results are supported by the underlying code and data.
Quality
1799
๐Ÿ”Ž
2h ago

Mathodology Evidence Search

Mathodology Evidence Search helps find literature, datasets, domain facts, and citation details for claims or model choices. It is used when evidence must be verified from primary sources and gaps or assumptions need to be recorded.
AI Engineering
1799
๐Ÿ“Š
2h ago

Mathodology Figure Presets

Mathodology Figure Presets helps choose, design, generate, and review scientific figures, modeling charts, and paper illustrations. Use it for data-driven figure work, especially when adapting templates or checking publication-ready output.
Data
1799
๐Ÿงฉ
2h ago

Mathodology Modeling Companion

Mathodology Modeling Companion helps start or resume a modeling task, manage assumptions, and keep results reproducible. It also covers installing, backing up, and maintaining the skills pack.
AI Engineering
1799
๐Ÿง 
2h ago

Mathodology Modeling Prompts

Mathodology Modeling Prompts helps plan a modeling solution, choose the next useful step, and brief a specialist. Use it to define assumptions, test a baseline, challenge results, and communicate findings clearly.
AI Engineering
1799
๐Ÿงญ
2h ago

Mathodology Repository Orientation

Mathodology Repository Orientation helps maintain the skills-only repository and decide whether a change belongs in source control. It explains the authoritative directories, boundaries, and when to use the repository checker.
Writing
1799