Claims Extractor

Claims Extractor is a Quality skill for Claude Code, published by WILLOSCAR in research-units-pipeline-skills.

499 stars39 forkson WILLOSCAR/research-units-pipeline-skillsAdded 2026/08/26Repository updated 2026/08/26

claudeclaude-codecodexgptpipelineresearchresearch-paperresearch-projectresearch-toolskillstoolsunitsvibevibe-codingvibecoding

Install in seconds

Install Claims Extractor

Copy Claims Extractor 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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/claims-extractor ~/.claude/skills/claims-extractor

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/WILLOSCAR/research-units-pipeline-skills.git

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

In this catalog

Source file: .codex/skills/claims-extractor/SKILL.md in WILLOSCAR/research-units-pipeline-skills
Installs to: ~/.claude/skills/claims-extractor
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1354 skills

What Claims Extractor does

Claims Extractor turns manuscript text into a traceable claim ledger for review work. It records each claim with a source pointer and separates empirical from conceptual claims.

Claims Extractor is cataloged under Quality on DirSkills. Claims Extractor comes from a repository tagged claude, claude-code, codex, gpt and pipeline.

Documentation

README

Excerpt

Claims Extractor

Transforms manuscript text into a traceable claim ledger for paper-review.

Input

output/PAPER.md

Output

output/CLAIMS.md
output/CLAIMS.jsonl (review-claim.v1, one addressable claim per line)

Contract

Each claim block must include:

claim text
type: empirical or conceptual
scope
source pointer back into output/PAPER.md

The Markdown and JSONL files are two views of the same claim records. Downstream skills should prefer JSONL and retain Markdown fallback for older Workspaces.

Script boundary

scripts/run.py should:

detect claim-like sentences
normalize them into stable claim blocks
attach source pointers
separate empirical and conceptual claims

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

Frequently asked about Claims Extractor

What else does WILLOSCAR publish alongside Claims Extractor?
Claims Extractor is one of 25 skills that DirSkills catalogs from WILLOSCAR/research-units-pipeline-skills, the repository it ships in. Its siblings there include Agent Survey Corpus, Anchor Sheet and Appendix Table Writer. Each one is a separate skill with its own page in this directory, installs the same way Claims Extractor does, and is maintained by WILLOSCAR in that same repository. The rest of the collection is listed on the WILLOSCAR/research-units-pipeline-skills page.
How does Claims Extractor compare to other Quality skills?
Claims Extractor ranks #1218 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 Claims Extractor against them. Open each page to compare what they document and how they install.