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fact-check

An AI agent skill from garrytan/gbrain, scored 68 out of 100 by code.

68/ 100C

Code score by group

  • Spec20/20
  • Description3/20
  • Procedure12/15
  • Done criteria13/15
  • Resources6/10
  • Scripts2/8
  • Safety7/7
  • Upkeep5/5

It loses the most points in Description (17), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

Systematic claim-by-claim verification for any content before it ships. Modeled on professional fact-checking desks (The New Yorker, ProPublica, IFCN standards): extract every verifiable claim, check each against live citable sources (never training data), assign a 6-level confidence status, apply corrections, and produce a scored pass/fail report. Includes a data-derived-claims gate for outputs produced FROM the brain or a database: PRODUCER ≠ VERIFIER (re-derive each claim via a different query path) and AFFILIATION ≠ AUTHORSHIP (person→thing claims resolve through typed edges), with delive…

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
garrytan/gbrain
Folder
skills/fact-check
License
MIT
GitHub stars
32,732
SKILL.md lines
467
Other files
1

Add fact-check to your agent

npx skills add garrytan/gbrain --skill fact-check

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

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  5. resolve-before-asking

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  6. draft-in-voice

    Ghostwrite content in a specific person's voice from a VALIDATED voice profile — tweets, replies, short posts, launch copy, recruiting blurbs, emails. Loads the subject's voice pr…

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  8. schema-unify

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All skills in garrytan/gbrain

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.