Skill843 repo starsupdated 4d ago

fact-verification

The fact-verification skill systematically evaluates scientific, political, and environmental claims by decomposing them into verifiable statements, retrieving evidence from authoritative sources like PolitiFact and Climate-FEVER datasets, assessing source credibility, and determining whether evidence supports, refutes, or is insufficient for verification. Use this skill when fact-checking public statements, validating research claims, or assessing assertions in policy contexts where accuracy matters.

View source Repository: ScienceClaw

Install in Claude Code

Copy

git clone --depth 1 https://github.com/beita6969/ScienceClaw /tmp/fact-verification && cp -r /tmp/fact-verification/skills/fact-verification ~/.claude/skills/fact-verification

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

# 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)