unattributed-claims-checker

Solid

Reads a draft article or script and flags every assertion of fact that lacks a named source, adding an inline `[NEEDS SOURCE]` marker so editors can see exactly where attribution is missing.

AI & Automation 16 stars 0 forks Updated yesterday MIT

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Quality Score: 86/100

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100
Description 5%
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Skill Content

# Unattributed Claims Checker ## What This Skill Does Reads a draft article or script and flags every assertion of fact that lacks a named source, adding an inline `[NEEDS SOURCE]` marker so editors can see exactly where attribution is missing. ## When To Use This Skill - Before you send a draft to a senior editor or legal review - When a piece has had multiple authors and sourcing discipline may be inconsistent - Any time you want a quick audit of a draft before publication or broadcast - When preparing an article that involves serious allegations, statistics, or expert claims ## What You Need To Provide **Required:** The full text of the draft — paste it directly into your message. **Optional:** A note about which claims are already known to have internal documentation (e.g., "the unemployment figures in paragraph 3 come from a government data release we have on file"). This prevents the assistant from flagging things you have already verified off-page. ## How the Assistant Approaches This 1. Reads the draft sentence by sentence and identifies every declarative claim — statistics, allegations, descriptions of events, characterisations of individuals or organisations, and predictions stated as fact. 2. Checks whether each claim is clearly attributed to a named or sufficiently identified source (e.g., a person, institution, document, or data release) either within the sentence or in the immediately surrounding context. 3. Appends `[NEEDS SOURCE]` directly after any claim ...

Details

Author
ur-grue
Repository
ur-grue/autopunk-media-skills
Created
4 months ago
Last Updated
yesterday
Language
Python
License
MIT

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