databricks-data-handling

databricks-data-handling is a Data warehousing & modelling skill for AI agents, published by Dicklesworthstone in the pi_agent_rust repository on GitHub. Skillspace rates databricks-data-handling D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Implement Delta Lake data management patterns including GDPR, PII handling, and data lifecycle. Use when implementing data retention, handling GDPR requests, or managing data lifecycle in Delta Lake. Trigger with phrases like "databricks GDPR", "databricks PII", "databricks data retention", "databricks data lifecycle", "delete user data".

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
1,323

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 GitHubDicklesworthstone/pi_agent_rust

Our review

Architecture
80 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 3 collections
Scope
Vendor-specific: built around one product. Delta Lake and Unity Catalog patterns on public Databricks

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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