Skill audit report
Design, ingest into, tune, and operate Apache Paimon tables for streaming lakehouses. Use for Paimon primary-key or append-only table design, bucket sizing, changelog producer choice, Flink CDC ingestion, compaction backlog, lookup join performance, PyPaimon, Spark reads, Iceberg compatibility, or streaming writes that produce too many small files.
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
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, database surface
Install availability
PASS92
npx skills add gordonmurray/data-engineering-skills --skill paimon
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/gordonmurray/data-engineering-skills/tree/main/paimon
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 paimon
Repository
88
https://github.com/gordonmurray/data-engineering-skills/tree/main/paimon
License
86
MIT
Maintenance
88
1mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, database surface
Install command safety
92
standard package or runtime install path
Permission surface
48
secrets or environment access, filesystem or document access
Stars/forks activity
43
38 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
38 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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