portaljs-check-data-quality
portaljs-check-data-quality is a Data warehousing & modelling skill for AI agents, published by datopian in the portaljs repository on GitHub. Skillspace rates portaljs-check-data-quality B (82/100) and it passed the safety scan; the rating is based on static analysis only.
Audit a local or remote tabular file (CSV/TSV) for common data quality issues — schema, nulls, types, duplicates. Read-only. Use when a dataset needs a quality check before publishing, or a showcase renders wrong (blank cells, garbled numbers, an unsortable date column) and the cause needs isolating.
- Grade
- B
- Quality
- 82 / 100
- Safety
- Passed
- GitHub stars
- 2,315
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Data-quality audit framed around PortalJS datasets and showcases
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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