Skill audit report

Ekuiper audit report.

Lightweight data stream processing engine for IoT edge

VERIFIED · ALLOWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit
94
Audit
91
Trust
100
Quality
86
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

91
Production candidate

Stars, maintenance, license, docs, install safety, permission surface, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

1.7K GitHub stars

Stars/forks activity

PASS

83

1.7K stars, 456 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

1d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

82

database surface

Install availability

PASS

92

npx skills add lf-edge/ekuiper

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/lf-edge/ekuiper

Review status

PASS

88

AI review data available

Checks

Install and adoption review

10 passed · 1 review

Install path

92

PASS

npx skills add lf-edge/ekuiper

Repository

88

PASS

https://github.com/lf-edge/ekuiper

License

86

PASS

Apache-2.0

Maintenance

100

PASS

1d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

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

83

PASS

1.7K stars, 456 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.7K GitHub stars

Warnings

No major warnings detected from available metadata.

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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