llm-runtime-architecture

Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.

Ir a la instalación

Repositorio: agentlas-ai/Agentlas-OS
Última actividad en el origen: 7 de junio de 2026 a las 07:48
Idioma detectado de SKILL.md: inglés
Estrellas: 1105
Forks: 103

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

npx skills add https://github.com/agentlas-ai/Agentlas-OS --skill llm-runtime-architecture

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¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

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Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

name	llm-runtime-architecture
description	Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.

LLM Runtime Architecture

Procedure

Keep AGENTS.md as the canonical behavior contract.
For each runtime, name entry point, global command, adapter files, available tools, memory access, limitations, and verification command.
Keep adapters thin and point them back to the canonical core.
Write or repair .agentlas/global-commands.json when creating or packaging an agent.
State unsupported capabilities explicitly.

Output

Return a runtime matrix with runtime, entry_point, global_command, adapter_files, memory_access, limitations, and verification.

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hephaestus-network

Use when the user types $hephaestus-network, /hep-network, or /agentlas-network, mentions @Hephaestus, or asks Agentlas to staff a durable goal from registered Local, owner Cloud, and public Hub agents or teams. The active host LLM staffs each turn; the exact roster remains goal-bound until explicit completion.

2026-08-28

hephaestus-network

Use when the user asks OpenClaw to staff a durable goal from registered Local, owner Cloud, and public Hub agents or teams. The active host LLM chooses the exact roster, which remains goal-bound until explicit completion.

2026-08-28

agentlas-operations

Agentlas 시스템 운용 절차 — hep-network 편성, hep-graph 자동화, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약. One(개인 에이전트)이 Agentlas를 조작할 때 이 절차를 따른다.

2026-08-28

Ver todos los de este repositorio

name	llm-runtime-architecture
description	Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.

LLM Runtime Architecture

Procedure

Keep AGENTS.md as the canonical behavior contract.
For each runtime, name entry point, global command, adapter files, available tools, memory access, limitations, and verification command.
Keep adapters thin and point them back to the canonical core.
Write or repair .agentlas/global-commands.json when creating or packaging an agent.
State unsupported capabilities explicitly.

Output

Return a runtime matrix with runtime, entry_point, global_command, adapter_files, memory_access, limitations, and verification.

llm-runtime-architecture

Datos de origen

Opciones de instalación

Revisa los archivos de origen

LLM Runtime Architecture

Procedure

Output

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LLM Runtime Architecture

Procedure

Output

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