Star200+

Skill audit report

Chan.Py Audit report.

开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视化绘图，多种数据接入，策略开发，交易系统对接；

VERIFIED · ALLOWSafe to tryGenerated Aug 3, 2026Heuristic metadata audit
92
Audit
88
Trust
100
Quality
88
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

88
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

1.9K GitHub stars

Stars/forks activity

PASS

83

1.9K stars, 737 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

74

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 Vespa314/chan.py

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/Vespa314/chan.py

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

11 Passed · 0 Needs review

Install path

92

PASS

npx skills add Vespa314/chan.py

Repository

88

PASS

https://github.com/Vespa314/chan.py

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

88

PASS

Approved with no listed issues

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

86

PASS

filesystem or document access

Stars/forks activity

83

PASS

1.9K stars, 737 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.9K GitHub stars

Warnings

No major warnings 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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