Skill 审计报告
quant-experiment-runtime 审计报告.
Quant research experiment executor: discover an offline source database under the workdir's code-repo, build a panel, run a Research Artifact's entry point to compute research-object values, and evaluate IC/ICIR/RANKIC/coverage metrics. Runtime = Experiment Executor; it runs a Research Artifact via a Python-native Entry Point and is agnostic to research-object type and expression form. Self-contained: panel building and IC metrics are implemented inside this skill. The dataset is identified at runtime by discover_data.py (never hard-coded). Use when: a research proposal is ready and you need to actually run the proposed factor/method on real data and get quantitative metrics. Do NOT use for: designing which experiments to run (use experiment-pipeline / paper-planning), debugging a single failed experiment (use experiment-craft), or searching papers (use local-paper-navigator).
OpenAgentSkill 信任评分
OpenAgentSkill 信任评分
Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。
GitHub 采用度
信息62
212 个 GitHub Stars
Star/Fork 活跃度
警告51
212 个 Star，3 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过88
距上次推送 1 个月
许可证清晰度
通过86
Apache-2.0
README/SKILL.md 完整度
通过86
元数据包含足够的用法与工作流上下文
依赖与运行时风险
警告54
command execution surface, external package install surface
安装可用性
通过92
npx skills add CamusGIT/EvoQuant --skill quant-experiment-runtime
安装命令安全性
通过92
标准软件包或运行时安装路径
权限范围
警告50
shell or command execution, filesystem or document access
仓库证据
通过86
https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/quant-experiment-runtime
审查状态
信息66
可用 AI 审查数据
Agent 验证结果
信息54
暂未有 Agent 结果数据
检查项
安装与采用审查
安装路径
92
npx skills add CamusGIT/EvoQuant --skill quant-experiment-runtime
仓库
88
https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/quant-experiment-runtime
许可证
86
Apache-2.0
维护
88
距上次推送 1 个月
AI 审查
55
The skill executes arbitrary code from LLM-generated research artifacts, which inherently requires a secure sandbox environment. The documentation mentions the EvoQuant sandbox but does not explicitly detail sandboxing constraints or risk mitigations within the skill itself.
README/SKILL.md 完整度
86
Usable description available
依赖风险
54
command execution surface, external package install surface
安装命令安全性
92
标准软件包或运行时安装路径
权限范围
50
shell or command execution, filesystem or document access
Star/Fork 活跃度
51
212 个 Star，3 个 Fork; 当前元数据中没有议题活跃度信息
采用度
68
212 个 GitHub Stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
警告
- 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
- The skill executes arbitrary code from LLM-generated research artifacts, which inherently requires a secure sandbox environment. The documentation mentions the EvoQuant sandbox but does not explicitly detail sandboxing constraints or risk mitigations within the skill itself.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, external package install surface
- Permission surface: shell or command execution, filesystem or document access
方法
本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛；它不是完整的源代码安全审计。
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