Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add romiluz13/pi-agent-skills --skill pi-podsgit clone --depth 1 https://github.com/romiluz13/pi-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/romiluz13/pi-agent-skills/pi-pods)<a href="https://agentmods.dev/skills/romiluz13/pi-agent-skills/pi-pods"><img src="https://agentmods.dev/badge/skills/romiluz13/pi-agent-skills/pi-pods/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/romiluz13/pi-agent-skills/pi-pods"><img src="https://agentmods.dev/badge/skills/romiluz13/pi-agent-skills/pi-pods.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.00452 |
| Opus 5.5 | $0.00034 | $0.00181 |
| Sonnet 5.5 | $0.00017 | $0.00090 |
| Haiku 4.5 | $0.00009 | $0.00045 |
Grade A, and why
pi-pods scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Pi Pods
Grounding
pi-mono/packages/pods/README.md— installation, pod management, model commands, GPU multi-assignment, and pre-defined models.pi-mono/packages/pods/src/— CLI commands implementation if needing deeper args validation.
Invariants
- Auto-assignment: When running multiple models on the same pod,
piautomatically assigns them to different GPUs. - Parameter Ignorance: When passing custom vLLM args with
--vllm, the default CLI shortcuts for--memory,--context, and--gpusare ignored.
Workflows
- Setup Pod: Use
pi pods setup <name> "<ssh>"along with--mountfor shared NFS storage (DataCrunch) or network volumes (RunPod). - Start Pre-defined Model: Use
pi start <model> --name <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 <N>.
Anti-patterns
- Do not manually construct tool-calling parsers for pre-defined models like Qwen or GLM;
piconfigureshermesorglm4_moeautomatically. - Do not assume models are downloaded redundantly on DataCrunch; emphasize the NFS shared models path (
/mnt/hf-models).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 29 lines · 0 tokens per session scan A 3a2bbeb0238a
pi-pods is a skill published in the GitHub repository romiluz13/pi-agent-skills (20 stars, last pushed 7mo ago), licensed MIT. It adds 86 tokens to every session and 452 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
pi-pods compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pi-podsromiluz13/pi-agent-skills | Skill | 20 | 7mo ago | MIT | A | 86 | Claude Code |
| tensorrt-llmNousResearch/hermes-agent | Skill | 262k | today | MIT | A | 18 | Claude Code, Codex |
| agent-platform-tuninggoogle/skills | Skill | 24k | today | Apache-2.0 | A | 64 | Claude Code, Codex |
| google-cloud-solution-guided-gke-ai-migrationgoogle/skills | Skill | 24k | today | Apache-2.0 | A | 157 | Claude Code, Codex |
| apigee-agent-gateway-governancegoogle/skills | Skill | 24k | today | Apache-2.0 | A | 222 | Claude Code, Codex |
| modalK-Dense-AI/scientific-agent-skills | Skill | 57k | today | MIT | A | 65 | Claude Code, Codex |
| gke-inferencegoogle/skills | Skill | 24k | today | Apache-2.0 | A | 119 | Claude Code, Codex |