frictionless-tabular-validation-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited frictionless-tabular-validation-starter (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill to validate a small CSV or TSV table against a simple Frictionless schema and emit a compact machine-readable error summary.
frictionless validation from the repo-managed data-tools prefixdata-validation./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.jsonpython3 -m unittest discover -s skills/data-acquisition-and-dataset-handling/frictionless-tabular-validation-starter/tests -p 'test_*.py'valid == true, row_count == 3, error_count == 0~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.