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SKILL verified Apache-2.0 Self-run

Llm Runtime Architecture

skill-agentlas-ai-hephaestus-llm-runtime-architecture · by agentlas-ai

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

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Install

$ agentstack add skill-agentlas-ai-hephaestus-llm-runtime-architecture

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

LLM Runtime Architecture

Procedure

  1. Keep AGENTS.md as the canonical behavior contract.
  2. For each runtime, name entry point, global command, adapter files, available

tools, memory access, limitations, and verification command.

  1. Keep adapters thin and point them back to the canonical core.
  2. Write or repair .agentlas/global-commands.json when creating or packaging

an agent.

  1. State unsupported capabilities explicitly.

Output

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.