Informe de auditoría del skill
agent-observability-eval-pipeline Informe de auditoría.
End-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause failures, bootstrap evaluators, then (optionally) sample + publish a dataset, generate + run an experiment, and analyze results. Six narrated phases with a standardized banner and a "continue" checkpoint between each. Pure orchestration over the agent-observability sub-skills (`agent-observability-session-classify`, `agent-observability-trace-rca`, `agent-observability-eval-bootstrap`, `agent-observability-experiment-bootstrap`, `agent-observability-experiment-analyzer`). Use when user says "run the eval pipeline", "go from traces to evals", "bootstrap evals end to end", "classify then RCA then bootstrap", "build an eval set from scratch", "onboard me to datasets and experiments", "walk me through experiments", "I have an ml_app, now what", "Agent Observability onboarding", "guided experiment setup", "from traces to experiments", or wants a deterministic, narrated tour from produ
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-eval-pipeline
Seguridad del comando de instalación
Info68
dynamic command execution, standard package or runtime install path
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-eval-pipeline
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-eval-pipeline
Repositorio
88
https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-eval-pipeline
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
The skill invokes sub-skills (agent-observability-session-classify, etc.) that are not included in this repository; they must be separately installed for the pipeline to work.
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
68
dynamic command execution, standard package or runtime install path
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
Advertencias
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill invokes sub-skills (agent-observability-session-classify, etc.) that are not included in this repository; they must be separately installed for the pipeline to work.
- Phase 5 executes a generated Python script. While this is a core feature, ensure that any user-supplied data (e.g., dataset content) cannot inject unintended code or commands into the generated script.
- 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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