Comparator Table Coverage

by tangxiangru

Comparator Table Coverage 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

View source on GitHub Download repo ZIP

agentaiai-scientistauto-researchclaudeclaude-codecliharnessllmopenaipaperscience

Install in seconds

Install Comparator Table Coverage

Copy Comparator Table Coverage 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-fill-every-row-of-the-comparator-table ~/.claude/skills/chemistry-fill-every-row-of-the-comparator-table

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-fill-every-row-of-the-comparator-table/SKILL.md in tangxiangru/AutoR
Installs to: ~/.claude/skills/chemistry-fill-every-row-of-the-comparator-table
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Comparator Table Coverage does

Comparator Table Coverage helps you transcribe a source table into row-level targets, audit your inclusion filter against each row, and report one run per class the table distinguishes. Use it when study design could otherwise drop whole comparator rows.

Comparator Table Coverage is cataloged under AI Engineering on DirSkills. Comparator Table Coverage comes from a repository tagged agent, ai, ai-scientist, auto-research and claude.

Documentation

README

Excerpt

Every row of the comparator table needs an arm of yours

What goes wrong

At literature stage you extract the incumbent's performance table — the one that breaks accuracy out by class of system — and you put it in a comparator section, correctly cited. Then you choose the panel you will actually run, and you choose it with a filter written for throughput: a size window, a component or chain count cap, "whatever the implementation supports as input", an availability or deposit-date cut, a per-target runtime ceiling. Finally you stratify your own results along an axis your hypotheses distinguish, which is not the table's axis.

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

Frequently asked about Comparator Table Coverage

What else does tangxiangru publish alongside Comparator Table Coverage?
Comparator Table Coverage 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 Comparator Table Coverage does, and is maintained by tangxiangru in that same repository. The rest of the collection is listed on the tangxiangru/AutoR page.
How does Comparator Table Coverage compare to other AI Engineering skills?
Comparator Table Coverage ranks #1594 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 Comparator Table Coverage against them. Open each page to compare what they document and how they install.