buriedsignals/anomaly/eurostat-data

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Use this skill to discover official Eurostat SDMX 3.0 dataflows and retrieve explicitly filtered observations with dimension labels and quality status. Apply it to reproducible European statistical queries; do not assume a local output limit makes an upstream cube small, ignore status flags, or treat the latest dissemination value as a complete revision history.

Install

npx vskill@latest install buriedsignals/anomaly/eurostat-data

SKILL.md

Discover and query Eurostat data

meta.yaml is the executable contract. Use only released operations.

<!-- BEGIN GENERATED OPERATION STATUS -->

Current catalogue release status

meta.yaml is authoritative. Execute only operations listed as Released below; other sections in this playbook may document provider or unreleased adapter scope.

Released

  • eu/eurostat/data:search-datasets — Search current Eurostat dataflow codes and multilingual names locally after one official SDMX structure request.
  • eu/eurostat/data:get-observations — Retrieve a bounded, explicitly filtered SDMX data cube and flatten provider values, dimensions, labels, and status flags.

<!-- END GENERATED OPERATION STATUS -->

Workflow

  1. Assess the complete question and inspect the relevant contract:

``bash catalogue data assess "<complete question>" --json catalogue data show eu/eurostat/data:search-datasets ``

  1. Discover candidate dataflows when the exact datacode is unknown:

``bash catalogue query eu/eurostat/data --operation search-datasets \ --input '{"q":"youth unemployment","language":"en","limit":10}' ``

  1. Inspect the chosen dataset's dimensions, unit, population, frequency, and

status vocabulary, then send an explicitly scoped observation query:

``bash catalogue query eu/eurostat/data --operation get-observations \ --input '{"dataset_code":"DEMO_GIND","filters":{"FREQ":"A","INDIC_DE":"POPTRT","GEO":"FR","TIME_PERIOD":"ge:2018+le:2023"},"limit":100}' ``

  1. Preserve datacode, dimension codes and labels, unit, time period, status and

status label, update/retrieval dates, source URL, and any truncation warning.

Query discipline

Component arrays are OR values. Time ranges use SDMX operators such as ge:2018+le:2023. Ordered key components follow the dataset structure; do not constrain the same dimension in both key and filters.

limit caps normalized output after the provider response. It does not reduce the upstream cube. The adapter therefore rejects unfiltered data requests unless the user explicitly sets allow_full_dataset, and Comext/Prodcom DS- datasets always require filters. Read the API reference before broad extraction.

Interpretation cautions

  • first_n_observations and last_n_observations apply per series.
  • Value and status-bearing positions are returned; missing cells need not be zero.
  • Eurostat can move 500,000–5,000,000-cell requests to asynchronous delivery

and reject larger ones; this adapter is synchronous.

  • Reuse normally requires source acknowledgment, with material and geography-

specific exceptions. Cite datacode or DOI and access date.

Bundled resources

  • references/api-reference.md — SDMX paths, filtering, limits, response model,

reuse evidence, and drift risks.

  • references/query-guide.md — dataset selection and statistical interpretation.
  • scripts/verify.py with assets/verification-cases.json — live checks.
  • evals/evals.json — agent-behavior cases.
bash
python3 scripts/verify.py --list
python3 scripts/verify.py

Security

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  • Model reviewPassed

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