Informe de auditoría del skill
quant-experiment-runtime Informe de auditoría.
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).
Trust Score de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Info62
212 estrellas de GitHub
Actividad de stars/forks
Advertencia51
212 estrellas y 3 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
1 meses desde el último push
Claridad de licencia
Aprobado86
Apache-2.0
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Advertencia54
command execution surface, external package install surface
Disponibilidad de instalación
Aprobado92
npx skills add CamusGIT/EvoQuant --skill quant-experiment-runtime
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Advertencia50
shell or command execution, filesystem or document access
Evidencia del repositorio
Aprobado86
https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/quant-experiment-runtime
Estado de revisión
Info66
Hay datos de revisión por IA disponibles
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add CamusGIT/EvoQuant --skill quant-experiment-runtime
Repositorio
88
https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/quant-experiment-runtime
Licencia
86
Apache-2.0
Mantenimiento
88
1 meses desde el último push
Revisión por IA
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.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
54
command execution surface, external package install surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
50
shell or command execution, filesystem or document access
Actividad de stars/forks
51
212 estrellas y 3 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
212 estrellas de GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Advertencias
- 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
Método
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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