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Pi Pods

skill-romiluz13-pi-agent-skills-pi-pods · by romiluz13

@mariozechner/pi — Deploy and manage vLLM LLM GPU pods, DataCrunch/RunPod setup, and CLI agent interface. Use when spinning up GPU instances, configuring vLLM, managing tensor parallelism, or interacting with models via pi agent. Use for "pi pods setup", "vLLM memory", "Qwen GLM models pi", even without naming the pods package.

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Install

$ agentstack add skill-romiluz13-pi-agent-skills-pi-pods

✓ 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.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Pi Pods

Grounding

  1. pi-mono/packages/pods/README.md — installation, pod management, model commands, GPU multi-assignment, and pre-defined models.
  2. pi-mono/packages/pods/src/ — CLI commands implementation if needing deeper args validation.

Invariants

  • Auto-assignment: When running multiple models on the same pod, pi automatically assigns them to different GPUs.
  • Parameter Ignorance: When passing custom vLLM args with --vllm, the default CLI shortcuts for --memory, --context, and --gpus are ignored.

Workflows

  • Setup Pod: Use pi pods setup "" along with --mount for shared NFS storage (DataCrunch) or network volumes (RunPod).
  • Start Pre-defined Model: Use pi start --name for known agentic models (Qwen, GLM, GPT-OSS). The tool calling parsers are automatically configured.
  • Custom vLLM Args: Pass specific settings (e.g. tensor parallelism) using --vllm --tensor-parallel-size .

Anti-patterns

  • Do not manually construct tool-calling parsers for pre-defined models like Qwen or GLM; pi configures hermes or glm4_moe automatically.
  • Do not assume models are downloaded redundantly on DataCrunch; emphasize the NFS shared models path (/mnt/hf-models).

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.

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