Informe de auditoría del skill
magpie-kernel-evaluator Informe de auditoría.
Benchmarks LLM inference and drives GPU kernel optimization with Magpie. Use when the user wants to benchmark vLLM, SGLang, or Atom; capture torch traces; post-process inference traces with TraceLens into prefill/decode and roofline reports; identify top bottleneck kernels or map profiler names to source; analyze or compare HIP, CUDA, PyTorch, or Triton kernels; validate and rank optimized variants; run local, container, or Ray workloads; or mentions Magpie, TraceLens, gap analysis, TTFT, TPOT, kernel evaluation, or AMD GPU optimization.
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
332 estrellas de GitHub
Actividad de stars/forks
Advertencia57
332 estrellas y 30 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
Advertencia44
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add amd/skills --skill magpie-kernel-evaluator
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido36
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/amd/skills/tree/main/skills/magpie-kernel-evaluator
Estado de revisión
Aprobado88
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 amd/skills --skill magpie-kernel-evaluator
Repositorio
88
https://github.com/amd/skills/tree/main/skills/magpie-kernel-evaluator
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
88
Approved with no listed issues
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
44
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
36
secrets or environment access, shell or command execution
Actividad de stars/forks
57
332 estrellas y 30 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
332 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
- 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: 332 stars, 30 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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