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sources

Audits claims against their sources, each statement in a draft, report, answer or summary traced to the passage, table, dataset or run that supports it, and marked supported, partially supported, unsupported or contradicted, with a provenance table as the deliverable. Use for a sources audit, fact-check, "is this actually supported", verifying an AI-written summary, or before a manuscript goes out. For resolving reference metadata use citations; for judging methodology use peer-review.

backend/cli/skills/core/sources/SKILL.md

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# Sources audit

A sources audit answers one question for every claim: where exactly does this come from,
and does that place say this? It is the check that catches confident paraphrase drifting
from what the source said, numbers copied with the wrong units, and results attributed to
the wrong paper. The deliverable is a table, not a reassurance.

## Rules

1. **Atomize.** Split the text into claims small enough to be true or false on their own.
   "X improves accuracy by 4% on Y and generalizes to Z" is two claims.
2. **Locate, then read.** For each claim, find the exact supporting passage: a sentence,
   a table cell, a figure panel, a dataset field, a tracked run's metric. Read it in its
   context; a sentence taken from a limitations paragraph often says the opposite of the