L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

fact-verification

fact-verification

Verify scientific claims, political statements, and environmental assertions against evidence

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: fact-verification description: Verify scientific claims, political statements, and environmental assertions against evidence

Fact Verification

Purpose

Systematically verify factual claims using evidence retrieval, source evaluation, and logical reasoning.

Key Datasets

  • PolitiFact (Jinyan1/PolitiFact): Political statements rated on 6-level truth scale (True, Mostly True, Half True, Mostly False, False, Pants on Fire)
  • Climate-FEVER (tdiggelm/climate_fever): Climate claims labeled SUPPORTS/REFUTES/NOT_ENOUGH_INFO with evidence sentences

Protocol

  1. Claim decomposition — Break complex claims into atomic verifiable statements
  2. Evidence retrieval — Search authoritative sources for each sub-claim
  3. Source evaluation — Assess source credibility and potential bias
  4. Evidence-claim alignment — Determine if evidence supports, refutes, or is insufficient
  5. Verdict synthesis — Aggregate sub-verdicts into overall assessment

Verification Categories

  • Scientific claims: Published findings, statistical assertions, causal claims
  • Political statements: Policy claims, historical assertions, statistical citations
  • Environmental claims: Climate data, pollution metrics, biodiversity assertions
  • Health claims: Treatment efficacy, risk factors, epidemiological data

Verdict Scale

  • VERIFIED: Multiple independent high-quality sources confirm
  • LIKELY TRUE: Evidence supports but limited independent confirmation
  • MIXED: Partially true with important caveats or context
  • LIKELY FALSE: Evidence contradicts but some ambiguity remains
  • FALSE: Clear evidence contradicts the claim
  • UNVERIFIABLE: Insufficient evidence to determine

Rules

  • Always cite specific evidence for each verdict
  • Distinguish between factual errors and misleading framing
  • Check for cherry-picked statistics or out-of-context quotes
  • Consider temporal context (claim may have been true when made)
Skills enregistrées