·claims-extractor

Extract key claims, contributions, and assumptions from a paper/manuscript into `output/CLAIMS.md` with traceability to source locations. **Trigger**: claims extractor, extract claims, contributions, assumptions, peer review, 审稿, 主张提取. **Use when**: 审稿/评审或 evidence audit,需要把主张列表落盘并可追溯到原文位置(section/page/quote)。 **Skip if**: 没有可用的稿件/全文(例如缺少 `output/PAPER.md` 或等价文本)。 **Network**: none. **Guardrail**: 每条 claim 必须带可定位的 source pointer;区分 empirical vs conceptual claims。

14Installs·0Trend·@willoscar

Installation

$npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill claims-extractor

SKILL.md

Goal: turn a manuscript into an auditable list of claims that downstream skills can check.

Extract key claims, contributions, and assumptions from a paper/manuscript into `output/CLAIMS.md` with traceability to source locations. **Trigger**: claims extractor, extract claims, contributions, assumptions, peer review, 审稿, 主张提取. **Use when**: 审稿/评审或 evidence audit,需要把主张列表落盘并可追溯到原文位置(section/page/quote)。 **Skip if**: 没有可用的稿件/全文(例如缺少 `output/PAPER.md` 或等价文本)。 **Network**: none. **Guardrail**: 每条 claim 必须带可定位的 source pointer;区分 empirical vs conceptual claims。 Source: willoscar/research-units-pipeline-skills.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill claims-extractor Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, and more

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill claims-extractor
Category
</>Dev Tools
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is claims-extractor?

Extract key claims, contributions, and assumptions from a paper/manuscript into `output/CLAIMS.md` with traceability to source locations. **Trigger**: claims extractor, extract claims, contributions, assumptions, peer review, 审稿, 主张提取. **Use when**: 审稿/评审或 evidence audit,需要把主张列表落盘并可追溯到原文位置(section/page/quote)。 **Skip if**: 没有可用的稿件/全文(例如缺少 `output/PAPER.md` 或等价文本)。 **Network**: none. **Guardrail**: 每条 claim 必须带可定位的 source pointer;区分 empirical vs conceptual claims。 Source: willoscar/research-units-pipeline-skills.

How do I install claims-extractor?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill claims-extractor Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/willoscar/research-units-pipeline-skills