portaljs-check-data-quality
From the author
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.
Install
npx skills add datopian/portaljs --skill portaljs-check-data-quality -a claude-code
Installs to .claude/skills/portaljs-check-data-quality/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 89
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
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