Informe de auditoría del skill
complete-ai-agent-stack-deployment-self-hosted-from-scratch Informe de auditoría.
Sequences a complete, end-to-end, fully self-hosted AI agent stack deployment from scratch — GPU procurement/sizing for open-weight model serving, self-hosted LLM serving (vLLM/TGI), agent control-flow architecture, a self-hosted vector database for RAG, self-hosted MCP servers for tool access, and an evaluation/guardrails harness — with no managed LLM API or managed vector database anywhere in the stack. An integration/orchestration skill that sequences existing tool-specific skills in the right order and flags handoff points, explicit about the added GPU-procurement and operational burden versus a cloud-managed agent stack. Use when a user asks to "build a self-hosted AI agent stack with open-weight models," "run our agent on our own GPUs with no managed LLM API," "stand up a self-hosted vector database and MCP servers for an agent platform," or "give me the end-to-end sequence for a fully self-hosted agent deployment from GPU procurement to production."
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
Advertencia48
38 estrellas de GitHub
Actividad de stars/forks
Advertencia48
38 estrellas y 18 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
3 meses desde el último push
Claridad de licencia
Aprobado86
Apache-2.0
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Fallido38
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add selvarajmurugesan90/ops-engineering-skills --skill complete-ai-agent-stack-deployment-self-hosted-from-scratch
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido24
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/selvarajmurugesan90/ops-engineering-skills/tree/main/plugins/ai-agent/skills/complete-ai-agent-stack-deployment-self-hosted-from-scratch
Estado de revisión
Advertencia46
Falta aprobación de revisión por IA
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 selvarajmurugesan90/ops-engineering-skills --skill complete-ai-agent-stack-deployment-self-hosted-from-scratch
Repositorio
88
https://github.com/selvarajmurugesan90/ops-engineering-skills/tree/main/plugins/ai-agent/skills/complete-ai-agent-stack-deployment-self-hosted-from-scratch
Licencia
86
Apache-2.0
Mantenimiento
88
3 meses desde el último push
Revisión por IA
55
Review approval is missing
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
38
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
24
secrets or environment access, shell or command execution
Actividad de stars/forks
48
38 estrellas y 18 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
42
38 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
- Low GitHub adoption signal
- Falta aprobación de revisión por IA
- 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
- GitHub adoption: 38 GitHub stars
- Stars/forks activity: 38 stars, 18 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
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Estrellas · Informe de auditoría
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
64K Estrellas · Informe de auditoría
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Estrellas · Informe de auditoría