Skill audit report

Dinky Audit report.

Dinky is a real-time data development platform based on Apache Flink, enabling agile data development, deployment and operation.

REVIEWED · REVIEWNeeds reviewGenerated Aug 10, 2026Heuristic metadata audit
89
Audit
87
Trust
100
Quality
86
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

87
Production candidate

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

3.7K GitHub stars

Stars/forks activity

PASS

88

3.7K stars, 1.3K forks; issue activity unavailable in current metadata

Recent maintenance

INFO

76

4mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

database surface

Install availability

PASS

92

npx skills add DataLinkDC/dinky

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

74

filesystem or document access, database access

Repository evidence

PASS

86

https://github.com/DataLinkDC/dinky

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 5 Needs review

Install path

92

PASS

npx skills add DataLinkDC/dinky

Repository

88

PASS

https://github.com/DataLinkDC/dinky

License

86

PASS

Apache-2.0

Maintenance

76

CHECK

4mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

74

CHECK

filesystem or document access, database access

Stars/forks activity

88

PASS

3.7K stars, 1.3K forks; issue activity unavailable in current metadata

Adoption

88

PASS

3.7K GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.

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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