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Rocrate metadata bundle starter

Skill ma-compbio-lab/SkillFoundry/skills/data-acquisition-and-dataset-handling/rocrate-metadata-bundle-starter

A framework for discovering, compiling, and validating reusable skills for scientific agents.

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill rocrate-metadata-bundle-starter

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SKILL.md

1.3 KB, 306 tokens by cl100k_base, as published. Nobody here has run it

RO-Crate Metadata Bundle Starter

Use this skill to package a small local data file into an RO-Crate directory with basic provenance-rich metadata and a compact summary of the generated graph.

What it does

  • copies one local data file into a fresh RO-Crate directory
  • writes ro-crate-metadata.json with a named root dataset and measurement metadata
  • reports the crate path, graph entity counts, and bundled data files

When to use it

  • you need a verified starter for data-provenance-tracking
  • you want a lightweight pattern for packaging outputs with reusable metadata
  • you need a deterministic RO-Crate fixture for tests or demos

Example

./slurm/envs/data-tools/bin/python skills/data-acquisition-and-dataset-handling/rocrate-metadata-bundle-starter/scripts/build_rocrate_metadata_bundle.py \
  --input skills/data-acquisition-and-dataset-handling/rocrate-metadata-bundle-starter/examples/toy_measurements.csv \
  --crate-dir scratch/rocrate/toy_bundle \
  --summary-out scratch/rocrate/toy_bundle_summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/data-acquisition-and-dataset-handling/rocrate-metadata-bundle-starter/tests -p 'test_*.py'
  • Expected summary: has_metadata_file == true, data_entity_count == 1, root_dataset_name == "Toy Measurement Bundle"

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