Individual skill
version-dataset
Use when you must prove an analysis ran on the intended data or lock a dataset version. Builds a deterministic content-hash manifest (file SHA-256, schema, per-column value hashes), verifies later copies against it for drift, and diffs two manifests.
skills/version-dataset/SKILL.md
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Nov 10, 2026
- License
- MIT
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- biostatistics Repository topic
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SKILL.mdcore · 4,227 bytesSKILL.mdcore · 4,227 bytesSKILL.mdcore · 4,227 bytesSKILL.mdcore · 4,227 bytesSKILL.mdcore · 4,227 bytesreferences/manifest_schema.mddoc · 5,441 bytesscripts/version_dataset.pyruns · 14,470 bytesskill.ymlasset · 1,260 bytestests/test_version_dataset.shruns · 12,501 bytes
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# Version Dataset Skill
An analysis must run on the data it claims to, with a fixed seed. This skill makes drift between
runs loud instead of silent: it records a deterministic fingerprint (file SHA-256 plus, for
tabular files, schema and per-column value hashes; no timestamp unless explicitly passed) so a
later run can *prove* the inputs are unchanged. It never alters data, and manifests hold hashes,
not the data itself. Provenance notes are in English.
## Deterministic Script
```bash
# Build a manifest (record the analysis seed + provenance)
python "${CLAUDE_SKILL_DIR}/scripts/version_dataset.py" manifest data.csv \
--out manifest.json --seed 42 --provenance "KNHANES 2018 extract v1"