Skill audit report

joinquant-skill Audit report.

Generate accurate, runnable quantitative strategy code for the JoinQuant (聚宽) platform. Use this skill when the user asks to write a stock/ETF/futures backtest, paper-trading, or live-trading strategy on JoinQuant — the skill provides progressive-disclosure access to the complete JoinQuant API knowledge base (14 categories, 294KB official docs), 5 production-ready strategy templates (single-stock MA, multi-factor, ETF rotation, momentum, mean-reversion), and a lint tool that catches hallucinated APIs, future-function violations, and unset price-mode/slippage/commission. Chinese-friendly. Code generated by this skill should paste directly into the JoinQuant online editor without modification.

BLOCKED · BLOCKRiskyGenerated Nov 5, 2026Heuristic metadata audit
72
Audit
65
Trust
62
Quality
74
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

WARN

48

75 GitHub stars

Stars/forks activity

WARN

48

75 stars, 17 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

NOASSERTION

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

54

command execution surface, external package install surface

Install availability

PASS

92

npx skills add gaaiyun/joinquant-skill --skill joinquant-skill

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

48

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/gaaiyun/joinquant-skill/blob/main/SKILL.md

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 17 Needs review

Install path

92

PASS

npx skills add gaaiyun/joinquant-skill --skill joinquant-skill

Repository

88

PASS

https://github.com/gaaiyun/joinquant-skill/blob/main/SKILL.md

License

86

PASS

NOASSERTION

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

Repository license is NOASSERTION; no clear open-source license is specified.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

54

FIX

command execution surface, external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

48

FIX

shell or command execution, filesystem or document access

Stars/forks activity

48

FIX

75 stars, 17 forks; issue activity unavailable in current metadata

Adoption

68

INFO

75 GitHub stars

Financial decision safety

20

FIX

Potential execution surface detected; do not connect live broker, exchange, wallet, or payment credentials.

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
  • Repository license is NOASSERTION; no clear open-source license is specified.
  • SKILL.md references official JoinQuant documentation but does not clarify whether any copyrighted material is included or how it is attributed.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 75 GitHub stars
  • Stars/forks activity: 75 stars, 17 forks; issue activity unavailable in current 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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