source-audit

name	source-audit
description	Audit financial, data, model, and dependency claims for primary-source quality, dates, provenance, and reproducibility before implementation or publication.
metadata	{"origin":"adapted from ZMB-UZH/omero-docker-extended at b27dbe990703d64d13e540c40cf4e122954c664d"}

Source Audit

Use this skill for research that can affect execution, risk, model selection, historical data, dependencies, or published performance claims.

Evidence Record

For each material claim record:

• publisher, canonical URL, publication/access date, and exact version;
• whether the source is primary, peer reviewed, official, or secondary;
• the directly supported fact, separate from local inference;
• conflicts, missing assumptions, survivorship bias, leakage risk, or scope mismatch;
• the repository test, artifact, or experiment needed before adoption.

Financial Rules

• Exchange rules and rate limits come from official exchange documentation or observed response headers.
• Dataset claims require checksums, UTC coverage, interval, gaps, schema, and source lineage.
• Strategy claims require out-of-sample results after fees, spread, latency, slippage, funding, liquidation, and selection effects.
• AI/ML improvement requires paired, hash-bound evidence on untouched periods; a higher score or a plausible narrative is not financial edge.
• Never backfill missing results from a chart, another repository, or memory.

State unresolved uncertainty instead of filling it with an assumption.