Informe de auditoría del skill
agent-observability-experiment-analyzer Informe de auditoría.
Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare experiments", "analyze against baseline", or provides one or two experiment IDs for analysis.
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
158 estrellas de GitHub
Actividad de stars/forks
Advertencia57
158 estrellas y 25 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
2 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
Advertencia46
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add datadog-labs/agent-skills --skill agent-observability-experiment-analyzer
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido22
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-experiment-analyzer
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 datadog-labs/agent-skills --skill agent-observability-experiment-analyzer
Repositorio
88
https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-experiment-analyzer
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
The SKILL.md excerpt does not include the Tool Reference appendix, which is referenced as being at the bottom of the file. Ensure it is present in the full document to avoid missing translation mappings for pup mode.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
46
command execution surface, credential or environment access
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
22
secrets or environment access, shell or command execution
Actividad de stars/forks
57
158 estrellas y 25 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
158 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.md excerpt does not include the Tool Reference appendix, which is referenced as being at the bottom of the file. Ensure it is present in the full document to avoid missing translation mappings for pup mode.
- The skill depends on external tools (MCP server or pup CLI) that may not be available in all environments. The detection logic handles this gracefully, but the skill could benefit from a note about required setup or permissions.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 158 stars, 25 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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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