claim-extraction

Installation
SKILL.md

Claim Extraction

You cannot grade, compare, or pool what you have not pinned down. A paragraph of retrieved text hides its claims inside prose; a summary blurs them. This skill makes the agent extract each explicit claim as a structured item — what was found, how big the effect was, in how many people, in what kind of study, in which population — so every later step (citation-faithfulness, conflict-detection, meta-analysis) has something precise to work on.

When to use

Right after retrieval, as the bridge between raw chunks and reasoning. Anything you plan to cite, contrast, or combine should first be extracted into claims.

The rule

Turn each source chunk into explicit, structured claims. Capture the finding and, whenever the text states them, the effect value, sample size, study design, and population — and keep each claim tied to its source.

For each chunk, extract one item per distinct factual claim:

Installs
1
GitHub Stars
1
First Seen
Today
claim-extraction — hash-7777/hash-medical-reasearch-agent-skills