Skill audit report
Design, migrate, tune, and maintain Apache Iceberg tables across query engines. Use for Iceberg schema and partition evolution, v2 to v3 upgrades, catalog selection, time travel and rollback, row-level deletes, snapshot expiry, orphan file cleanup, small-file compaction, or slow queries and metadata bloat on a lakehouse table. Covers Spark, Flink, Trino, Athena, Snowflake, REST catalogs, Polaris, Nessie, Glue, and Hive.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
38 GitHub stars
Stars/forks activity
WARN43
38 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add gordonmurray/data-engineering-skills --skill iceberg
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/gordonmurray/data-engineering-skills/tree/main/iceberg
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add gordonmurray/data-engineering-skills --skill iceberg
Repository
88
https://github.com/gordonmurray/data-engineering-skills/tree/main/iceberg
License
86
MIT
Maintenance
88
2mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
43
38 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
38 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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