Statistical Claim Checker
Validate every quantitative claim in an article against the source data it cites, flagging numbers that are unsupported, outdated, or selectively quoted.
🧠 Why it works
Most factual errors in published writing are not invented numbers — they are stale numbers, context-stripped numbers, or numbers that cite a source that technically says the opposite. A general proofread misses these because the claim sounds plausible. A targeted extract-then-verify loop catches them because each number is checked against the exact sentence it came from.
⚙️ How it works
- Claim extraction: walk the draft sentence-by-sentence and emit (sentence, number, unit, cited_source) tuples. 2. Source chunking: index the cited sources as retrievable passages. 3. For each claim, retrieve the 3 most similar source passages and ask the LLM to judge support with required verbatim evidence quote. 4. Freshness check: compare the source's publication date to the claim's tense — 'as of 2024' against a 2019 source fails. 5. Cherry-pick check: for supported claims, ask whether adjacent passages contradict or qualify the number. 6. Emit markdown annotations keyed to draft line numbers.
Description
Reads a draft article and a folder of source PDFs or CSVs. Extracts every numeric claim (percentages, dollar amounts, counts, rates), links each to its cited source, and returns a per-claim verdict: supported / unsupported / outdated / cherry-picked. The output is a line-by-line annotation you can diff against the draft.
Install this skill
A Claude skill is a skill.md file with YAML frontmatter and a markdown body.
Drop the file into your tool of choice — or pick a different format if you use Cursor, Windsurf, Copilot, or something else.
mkdir -p ~/.claude/skills/statistical-claim-checker \
&& curl -L https://aidiveforge.com/skill/statistical-claim-checker.skill-md \
-o ~/.claude/skills/statistical-claim-checker/skill.mdSave to ~/.claude/skills/statistical-claim-checker/skill.md
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