Skill audit report
Architect, implement, deploy, upgrade, and troubleshoot Apache Flink stream processing jobs. Use for Flink SQL, Table API, or DataStream implementation, 1.x to 2.x migration, savepoint and state compatibility, checkpoint failures, backpressure, watermark and late-data problems, Kubernetes Operator deployment, Flink CDC pipelines, or Iceberg, Paimon, and Fluss connector work.
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
WARN56
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add gordonmurray/data-engineering-skills --skill flink
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
secrets or environment access, network or browser access
Repository evidence
PASS86
https://github.com/gordonmurray/data-engineering-skills/tree/main/flink
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 flink
Repository
88
https://github.com/gordonmurray/data-engineering-skills/tree/main/flink
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
56
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
secrets or environment access, network or browser 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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