Informe de auditoría del skill
ai-research-explore Informe de auditoría.
Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, verified novelty claims, or implicit experimentation.
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
484 estrellas de GitHub
Actividad de stars/forks
Advertencia57
484 estrellas y 16 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
MIT
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Aprobado90
No hay indicios importantes de riesgo de dependencias en los metadatos públicos
Disponibilidad de instalación
Aprobado92
npx skills add lllllllama/RigorPilot-Skills --skill ai-research-explore
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/lllllllama/RigorPilot-Skills/tree/main/skills/ai-research-explore
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 lllllllama/RigorPilot-Skills --skill ai-research-explore
Repositorio
88
https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/ai-research-explore
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
SKILL.md references shared references under ../ai-research-reproduction/ which are not included in this submitted skill directory; if those files are not bundled or guaranteed present, the skill may not be fully operational.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
90
No hay indicios importantes de riesgo de dependencias en los metadatos públicos
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
57
484 estrellas y 16 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
484 estrellas de GitHub
Advertencias
- Permission surface may require sandboxing
- SKILL.md references shared references under ../ai-research-reproduction/ which are not included in this submitted skill directory; if those files are not bundled or guaranteed present, the skill may not be fully operational.
- The skill delegates to other skills such as explore-code, explore-run, run-train, and analyze-project but does not clarify whether they are bundled, optional, or must be installed separately.
- No explicit setup or environment requirements are documented, such as where the isolated worktree should be created or what permissions are needed for executing runs and network lookups.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 484 stars, 16 forks; issue activity unavailable in current metadata
- 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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