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AI EngineeringPython

Mathodology Evidence Search

by sweetcornna

Mathodology Evidence Search is an AI Engineering 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 Evidence Search
Copy Mathodology Evidence Search 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-evidence-search ~/.claude/skills/mathodology-evidence-search

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-evidence-search/SKILL.md in sweetcornna/mathodology
Installs to
~/.claude/skills/mathodology-evidence-search
Collection
One of 8 skills cataloged from this repository
Category
AI Engineering โ€” 3475 skills

What Mathodology Evidence Search does

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.

Mathodology Evidence Search is cataloged under AI Engineering on DirSkills. Mathodology Evidence Search comes from a repository tagged agent-skills, ai-coding, claude-code and codex.

Documentation

README

Use evidence to support a claim or model choice. Prefer primary work and official data. Mark assumptions and unresolved gaps; never fill them with invented facts.

Search and read

Inspect available tools. Normally combine built-in WebSearch with mcp__search__search: complementary discovery queries can find different sources. Record which channels actually contributed. If a channel is unavailable, continue with the working one and note the coverage limitation; an unavailable search is not evidence that a source does not exist. With no search, work from supplied material and state which external claims remain unverified.

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

Frequently asked about Mathodology Evidence Search

  • What else does sweetcornna publish alongside Mathodology Evidence Search?

    Mathodology Evidence Search is one of 8 skills that DirSkills catalogs from sweetcornna/mathodology, the repository it ships in. Its siblings there include Mathodology Award Gates, Mathodology Figure Presets and Mathodology Modeling Companion. Each one is a separate skill with its own page in this directory, installs the same way Mathodology Evidence Search 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 Evidence Search compare to other AI Engineering skills?

    Mathodology Evidence Search ranks #3116 by stars among the 3475 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. 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 Evidence Search against them. Open each page to compare what they document and how they install.

More from sweetcornna/mathodology

Mathodology Evidence Search 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“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
๐Ÿงช
2h ago

Mathodology Repository Checks

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.
Quality
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