Informe de auditoría del skill
serving-llms-on-epyc Informe de auditoría.
Serves an LLM on a supported AMD EPYC server CPU using vLLM with zentorch, in Docker, Podman, or conda. Use for "vLLM on CPU", "zentorch serving", or an EPYC CPU endpoint, including on a host that also has AMD Instinct GPUs. Detects the EPYC generation, validates the runtime, checks model support and RAM fit, sizes threads/KV/NUMA, confirms the plan, launches, and verifies the endpoint. Runs one instance on one socket and its memory. Reports and stops on failure; does not retry or debug. Use serving-llms-on-instinct when the endpoint should run on a GPU. Excludes multi-node, EPYC 4000, and pre-Zen4 EPYC without AVX-512.
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 serving-llms-on-epyc
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/amd/skills/tree/main/skills/serving-llms-on-epyc
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 amd/skills --skill serving-llms-on-epyc
Repositorio
88
https://github.com/amd/skills/tree/main/skills/serving-llms-on-epyc
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
The skill relies on external resources (Docker Hub image, Hugging Face model registry) which could introduce supply-chain risks if the image or registry is compromised; however, the skill pins a specific image and version, mitigating this.
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
22
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
- The skill relies on external resources (Docker Hub image, Hugging Face model registry) which could introduce supply-chain risks if the image or registry is compromised; however, the skill pins a specific image and version, mitigating this.
- The skill assumes the agent has permission to run docker/podman commands without sudo; this is a stated prerequisite, but the skill does not verify user permissions beyond runtime detection.
- 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.
Comparar opciones cercanas
Skills relacionados para auditar después
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37K Estrellas · Informe de auditoría
n8n
Connect agents to hundreds of workflow automations
194K Estrellas · Informe de auditoría
MoneyPrinterTurbo
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
89K Estrellas · Informe de auditoría