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.
git clone --depth 1 https://github.com/beita6969/ScienceClaw /tmp/fact-verification && cp -r /tmp/fact-verification/skills/fact-verification ~/.claude/skills/fact-verificationSKILL.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)
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
# Academic Literature Search — 学术文献检索与引用管理
Route plain-language requests for Pi, Claude Code, Codex, OpenCode, Gemini CLI, or ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation.
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