Detect rhetorical techniques and bias signals in media text.
npx skills add https://github.com/moonlight-lupin/agent-skills --skill media-analyzer
Please help me install this Agent Skill. Skill: media-analyzer Source: https://github.com/moonlight-lupin/agent-skills/tree/main/research/media-analyzer Command: npx skills add https://github.com/moonlight-lupin/agent-skills --skill media-analyzer
This Skill provides a framework for critical media analysis, enabling the detection of rhetorical techniques and bias signals in articles, without labeling political positions.
To analyze a news article, run the following command:
python scripts/analyze.py scan --input article.md --output analysis.json
High-intent search queries and answers about installing and using this skill.
Detect rhetorical techniques and loaded language in media text by running the analysis script against your article. It identifies framing, emotional appeals, and omissions, outputting a non-directional bias-signal intensity spectrum.
A non-directional bias-signal intensity spectrum measures observable rhetorical tools and source-selection signals in media text without attributing a political stance. It rates the intensity of framing, cherry-picking, and false balance.
Yes, you can analyze PDF articles for source selection bias and false balance. The skill uses pypdf and pdfplumber dependencies to extract and process text from PDF files for rhetorical technique detection.
Yes, you need Python 3.11 or higher to run the media bias detection scripts. You must also install specific dependencies including pypdf, pdfplumber, and requests before executing the analysis.
To identify framing and omissions without labeling political positions, use a critical media analysis framework that provides a non-directional bias-signal spectrum to rate observable rhetorical tools and source-selection signals.
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