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。
Installation
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
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
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01