Skill audit report

root-cause-analysis Audit report.

问题诊断与归因分析技能。当用户报告指标异常、数据波动、KPI未达标、营收下滑、成本上升时使用。

REVIEWED · REVIEWNeeds reviewGenerated Oct 12, 2026Heuristic metadata audit
72
Audit
65
Trust
56
Quality
81
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

65
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

FAIL

30

21 GitHub stars

Stars/forks activity

FAIL

32

21 stars, 6 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

WARN

60

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add zj-unicom-ai/UniEmployee --skill root-cause-analysis

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/root-cause-analysis

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 10 Needs review

Install path

92

PASS

npx skills add zj-unicom-ai/UniEmployee --skill root-cause-analysis

Repository

88

PASS

https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/root-cause-analysis

License

86

PASS

MIT

Maintenance

88

PASS

1mo since push

AI review

55

CHECK

SKILL.md does not specify the expected input data schema or how run_python should obtain the data, leaving room for ambiguous execution.

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

32

FIX

21 stars, 6 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

21 GitHub stars

Warnings

  • SKILL.md does not specify the expected input data schema or how run_python should obtain the data, leaving room for ambiguous execution.
  • No explicit safe operating boundaries are defined, such as restricting analysis to provided datasets and avoiding file/network side effects.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 21 GitHub stars
  • Stars/forks activity: 21 stars, 6 forks; issue activity unavailable in current metadata
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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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