Skill audit report

Finhack audit report.

FinHack®,一个易于拓展的量化金融框架,它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。

REVIEWED · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
76
Audit
79
Trust
64
Quality
89
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

79
Strong shortlist

Stars, maintenance, license, docs, dependency risk, 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

1.0K GitHub stars

Recent maintenance

INFO

62

7mo since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add FinHackCN/finhack

Repository evidence

PASS

86

https://github.com/FinHackCN/finhack

Review status

PASS

88

AI review data available

Checks

Install and adoption review

6 passed · 5 review

Install path

92

PASS

npx skills add FinHackCN/finhack

Repository

88

PASS

https://github.com/FinHackCN/finhack

License

45

CHECK

Unknown

Maintenance

62

CHECK

7mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

1.0K GitHub stars

Warnings

  • License is unclear
  • Quality score needs review
  • License clarity: Unknown

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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