Chemistry Group Attribution Across Splits

Chemistry Group Attribution Across Splits is an AI Engineering skill for Claude Code, published by tangxiangru in AutoR.

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

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agentaiai-scientistauto-researchclaudeclaude-codecliharnessllmopenaipaperscience

Install in seconds

Install Chemistry Group Attribution Across Splits

Copy Chemistry Group Attribution Across Splits 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-group-attribution-over-the-split-and-the-baseline-model ~/.claude/skills/chemistry-group-attribution-over-the-split-and-the-baseline-model

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-group-attribution-over-the-split-and-the-baseline-model/SKILL.md in tangxiangru/AutoR
Installs to: ~/.claude/skills/chemistry-group-attribution-over-the-split-and-the-baseline-model
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Chemistry Group Attribution Across Splits does

Chemistry Group Attribution Across Splits defines how to evaluate substructure attributions over a held-out split instead of one molecule. It also compares the same attribution on a baseline model and treats learned masks as outputs.

Chemistry Group Attribution Across Splits is cataloged under AI Engineering on DirSkills. Chemistry Group Attribution Across Splits comes from a repository tagged agent, ai, ai-scientist, auto-research and claude.

Documentation

README

Excerpt

A group ranking from one molecule has no n, and "more interpretable" is a comparison

This picks up after the estimator is chosen. the-attribution-is-the-deliverable covers which estimator to use, computing two of them and reporting their disagreement, the trivial-feature control, and the fact that the output has to be a figure. None of that is repeated here. What that skill leaves open, and what loses the interpretability criterion, is three things: the population, the comparator model, and the mask.

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

Frequently asked about Chemistry Group Attribution Across Splits

What else does tangxiangru publish alongside Chemistry Group Attribution Across Splits?
Chemistry Group Attribution Across Splits 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 Chemistry Group Attribution Across Splits does, and is maintained by tangxiangru in that same repository. The rest of the collection is listed on the tangxiangru/AutoR page.
How does Chemistry Group Attribution Across Splits compare to other AI Engineering skills?
Chemistry Group Attribution Across Splits ranks #1593 by stars among the 2451 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 Chemistry Group Attribution Across Splits against them. Open each page to compare what they document and how they install.