schema-auto-tagger

schema-auto-tagger is a Data warehousing & modelling skill for AI agents, published by treasure-data in the td-skills repository on GitHub. Skillspace rates schema-auto-tagger C (75/100) and it passed the safety scan; the rating is based on static analysis only.

Automated schema tagging and resource classification for Treasure Data. Detects new tables/columns, analyzes metadata patterns, and suggests appropriate policy tags with confidence scoring. Reduces manual tagging effort by 80% while maintaining compliance standards (GDPR, CCPA, HIPAA, SOX).

Grade
C
Quality
75 / 100
Safety
Passed
GitHub stars
20

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubtreasure-data/td-skills

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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