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Prepare a replication package for the sewage-house-prices project. Generates AEA-compliant README, master script, numbered script order, install script, and deposit checklist. Validates the package against 10 verification checks. This skill should be used when asked to "prepare replication", "data deposit", "create replication package", or "package for submission".
Passed 12 of 15 test cases with the skill, and 7 of 15 without it.
and 7 more in the full report
9 fixed8 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
When no custom destination parameter is supplied to the package build command, where should all generated replication package files be created?
| Checked | Without skill | With skill |
|---|---|---|
| The default target path is set to Replication/. | Missed | Passed |
The instructions your model reads when the skill loads.
Prepare an AEA Data Editor compliant replication package for the sewage-house-prices project.
Input: $ARGUMENTS — output directory (defaults to Replication/).
The project has a 6-layer data pipeline in scripts/R/:
01_data_ingestion/ — Raw data collection (EDM archives, APIs)02_data_cleaning/ — Format standardisation, geocoding, validation03_data_enrichment/ — Temporal aggregation, rainfall metrics, dry spill identification04_feature_engineering/ — Spatial matching (house/rental ↔ spill sites)05_data_integration/ — Merging historical and API EDM data06_analysis_datasets/ — Final dataset assemblyAnalysis scripts: scripts/R/09_analysis/ (6 subdirectories by approach)
Utilities: scripts/R/utils/
Python scripts: scripts/python/ (river network processing)
Docker pipelines: RiverNetworks/, upstream_downstream/
data/raw/ — Original immutable data (EDM, Land Registry, Met Office, shapefiles)
data/processed/ — Intermediate pipeline outputs (parquet)
data/final/ — Analysis-ready datasets
data/cache/ — Postcode geocoding cache
renv (renv.lock)uv in scripts/python/test cases passed, vs 7 / 15 without
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