Menu

Individual skill

BiasCheck

0upvotes

Three-layer bias analysis of any URL, file, or text: fetches the content and cited studies, then audits data bias, source conflicts, and journalism distortions. 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, research synthesis (Research), entity due diligence.

LifeOS/install/skills/BiasCheck/SKILL.md

Read pinned source

Source commit b7efec97d8c3885feee285bee468c35602fb0606

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 2, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.

Repository context

Repository stars (not skill ratings)
19,767
Repository last updated
Nov 5, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# BiasCheck

Runs a three-layer bias audit on any source: a URL, a file path, or raw text. It reads the content plus any study it cites, then checks (1) biases inside the data, (2) conflicts of interest in the source organization, and (3) distortions the journalism added on top. The output separates what the data actually supports from what got editorialized.

## Ideal State

- Every audit reaches the primary source behind the input, or records that it could not as a finding.
- The three layers (data, source organization, journalism) stay separate, and every bias claim names a concrete tell from the artifact.
- The reader leaves with what the data actually supports, split from what was editorialized on top, so the original claim can be rewritten honestly.
- Findings are specific to this artifact. A funder's stake is a multiplier on the analysis, never an automatic disqualifier, and a category with no tell in the source is left out rather than forced.

## Intent Routing

| Intent | Trigger | File |