fact-verification
Verify scientific claims, political statements, and environmental assertions against evidence
Best use case
fact-verification is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Verify scientific claims, political statements, and environmental assertions against evidence
Teams using fact-verification should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/fact-verification/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How fact-verification Compares
| Feature / Agent | fact-verification | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Verify scientific claims, political statements, and environmental assertions against evidence
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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)
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