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Frictionless tabular validation starter

Skill ma-compbio-lab/SkillFoundry/skills/data-acquisition-and-dataset-handling/frictionless-tabular-validation-starter

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

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill frictionless-tabular-validation-starter

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SKILL.md

1.4 KB, 309 tokens by cl100k_base, as published. Nobody here has run it

Frictionless Tabular Validation Starter

Use this skill to validate a small CSV or TSV table against a simple Frictionless schema and emit a compact machine-readable error summary.

What it does

  • loads a tabular input file plus a JSON schema descriptor
  • runs frictionless validation from the repo-managed data-tools prefix
  • reports row counts, field names, and normalized validation errors

When to use it

  • you need a verified starter for data-validation
  • you want a deterministic schema-validation smoke fixture for tabular scientific data
  • you need structured validation output before downstream ingestion or conversion

Example

./slurm/envs/data-tools/bin/python skills/data-acquisition-and-dataset-handling/frictionless-tabular-validation-starter/scripts/run_frictionless_tabular_validation.py \
  --input skills/data-acquisition-and-dataset-handling/frictionless-tabular-validation-starter/examples/toy_people_valid.csv \
  --schema skills/data-acquisition-and-dataset-handling/frictionless-tabular-validation-starter/examples/toy_people_schema.json \
  --out scratch/data-validation/frictionless_summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/data-acquisition-and-dataset-handling/frictionless-tabular-validation-starter/tests -p 'test_*.py'
  • Expected valid summary: valid == true, row_count == 3, error_count == 0

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