Variant Analysis Integrity

by tangxiangru

Variant Analysis Integrity is a Quality skill for Claude Code, published by tangxiangru in AutoR.

804 stars25 forkson tangxiangru/AutoRAdded 2026/08/22Repository updated 2026/08/22

View source on GitHub Download repo ZIP

agentaiai-scientistauto-researchclaudeclaude-codecliharnessllmopenaipaperscience

Install in seconds

Install Variant Analysis Integrity

Copy Variant Analysis Integrity 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/tangxiangru/AutoR/tree/main/src/skills/chemistry-a-cut-variant-takes-its-analyses-with-it ~/.claude/skills/chemistry-a-cut-variant-takes-its-analyses-with-it

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

Without Node.js

git clone https://github.com/tangxiangru/AutoR.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: src/skills/chemistry-a-cut-variant-takes-its-analyses-with-it/SKILL.md in tangxiangru/AutoR
Installs to: ~/.claude/skills/chemistry-a-cut-variant-takes-its-analyses-with-it
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1354 skills

What Variant Analysis Integrity does

Variant Analysis Integrity helps you track which model variant produced each table row, case study, saliency map, or ablation before you cut or shrink a family member. It also clarifies what evidence from one variant does and does not support about the larger method family.

Variant Analysis Integrity is cataloged under Quality on DirSkills. Variant Analysis Integrity comes from a repository tagged agent, ai, ai-scientist, auto-research and claude.

Documentation

README

Excerpt

An analysis inherits the model it was run on

A method published as a family — the same new module dropped into a convolutional backbone and an attention backbone, the same architecture in a base and a "+" version — spreads its evidence across the variants. The benchmark table has a column each. But the other results are attached to one variant apiece: the worked case study was run on one of them, the saliency figure was drawn from one of them, the efficiency panel timed one of them. Those are not properties of the method in general. They are properties of a model, and only that model can produce them.

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

Frequently asked about Variant Analysis Integrity

What else does tangxiangru publish alongside Variant Analysis Integrity?
Variant Analysis Integrity is one of 25 skills that DirSkills catalogs from tangxiangru/AutoR, the repository it ships in. Its siblings there include A Deliverable Is Not an Instruction, A Value You Did Not Measure Still Has A Source and Answer The Why, Not Only The What. Each one is a separate skill with its own page in this directory, installs the same way Variant Analysis Integrity does, and is maintained by tangxiangru in that same repository. The rest of the collection is listed on the tangxiangru/AutoR page.
How does Variant Analysis Integrity compare to other Quality skills?
Variant Analysis Integrity ranks #969 by stars among the 1354 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 Variant Analysis Integrity against them. Open each page to compare what they document and how they install.