BiasCheck

BiasCheck is a Web research & fact-checking skill for AI agents, published by danielmiessler in the LifeOS repository on GitHub. Skillspace rates BiasCheck C (79/100) and it passed the safety scan; a judge model has also reviewed it.

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).

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
16,717

Placed #4 of 6 in the judged category final for Web research & fact-checking.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. LifeOS product's install-layout bias-check feature

Judge review

Placed #4 of 6 in the judged category final for Web research & fact-checking.

  • Trigger9090
  • Instructions7575
  • Specificity8585
  • Safety6565
  • Disclosure8282
  • Maintenance5555
Sharp USE WHEN/NOT FOR trigger list and a specific three-layer bias taxonomy with worked examples, marred by a mandatory unrelated localhost notification call before any work starts.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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