Skill audit report
QuantMind audit report.
QuantMind 开源版 是一款面向个人量化研究者的本地化金融量化交易平台，基于微软 Qlib 量化框架构建，提供从模型训练，回测，推理，实盘交易的完整研究闭环。 平台深度集成 LightGBM 等主流机器学习模型，支持 146 维量化因子训练与推理，用户可快速构建 Alpha 策略并在历史数据上验证效果。核心功能涵盖智能策略生成、模型训练、回测中心、QuantBot 助手及多模型管理，全部功能无使用限制。 开源版采用本地单机部署，通过 docker compose 一键启动，无需依赖云服务，数据与模型完全本地化，保障研究隐私。适合个人开发者、学术研究者及小团队进行量化策略原型验证与二次开发，是进入金融量化领域的理想起点。
OpenAgentSkill Trust Score
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
INFO62
358 GitHub stars
Stars/forks activity
INFO62
358 stars, 114 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
AGPL-3.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO80
external package install surface
Install availability
PASS92
npx skills add qusong0627/QuantMind
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/qusong0627/QuantMind
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add qusong0627/QuantMind
Repository
88
https://github.com/qusong0627/QuantMind
License
86
AGPL-3.0
Maintenance
100
2d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
80
external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
62
358 stars, 114 forks; issue activity unavailable in current metadata
Adoption
68
358 GitHub stars
Warnings
- Quality score needs review
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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