bias-check
SolidUse before any research activity or significant decision. Reviews cognitive biases relevant to the current stage.
Install
Quality Score: 86/100
Skill Content
Details
- Author
- haabe
- Repository
- haabe/mycelium
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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biascheck
Three-layer bias analysis on any URL, file, or text — auto-fetches the content and any cited study, then audits data-level biases, source conflicts of interest, and journalism-added distortions, separating what the data supports from what's editorialized. USE WHEN bias analysis, analyze bias, bias check, check this study, who funded this, is this source biased, fact-check article, methodological flaws, source credibility, what's wrong with this claim. NOT FOR psychological author analysis (use _CRITICAL_ANALYSIS), research synthesis (use Research), entity due diligence (use _OSINT).
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Update canvas sections with new evidence. Ensures canvas stays current as the single source of truth.
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