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 agentmods add skills/runpod/runpod-plugins-official/runpod-usagenpx skills add runpod/runpod-plugins-official --skill runpod-usagegit clone --depth 1 https://github.com/runpod/runpod-plugins-officialWrote 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/runpod/runpod-plugins-official/runpod-usage)<a href="https://agentmods.dev/skills/runpod/runpod-plugins-official/runpod-usage"><img src="https://agentmods.dev/badge/skills/runpod/runpod-plugins-official/runpod-usage.svg" alt="Measured on agentmods" 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 | $0.00120 | $0.00672 |
| Opus 5 | $0.00060 | $0.00336 |
| Sonnet 5 | $0.00024 | $0.00134 |
| Haiku 4.5 | $0.00012 | $0.00067 |
Grade A, and why
runpod-usage 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 3d 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
Runpod usage (concepts)
Background knowledge for making the right choice before you act. This skill runs nothing — once you know what to do, execute with runpod-mcp/runpodctl (infra), flash (your own code), or companion-clis (models/images/data).
This skill explains; the golden paths demonstrate. When the question is really "how do I do X" rather than "how does X work", the verified end-to-end example is the faster answer — runpod/golden-paths/README.md. Read the concept here, then follow the path.
Read the one reference file that matches the question:
| Question | Read |
|---|---|
First-run setup / auth — get + set RUNPOD_API_KEY, SSH, companion creds |
reference/getting-started.md |
| Pods vs serverless, workers, cold starts, FlashBoot, queue vs load-balanced | reference/concepts.md |
| The development loop for ANY workload (start here) — plan → prefer prebuilt → provision → verify → teardown | reference/development-loop.md |
| Stand up / iterate a workload on a pod — the pod sub-loop | reference/pod-workflows.md |
| Deploy / iterate a serverless endpoint — Hub vs flash vs custom, invoke + verify | reference/endpoint-workflows.md |
Install software on a pod — package hygiene, uv, non-interactive, caching |
reference/on-pod-setup.md |
Build a Docker image Runpod can run (handler contract, Dockerfile, --platform=linux/amd64) |
reference/docker.md |
| How to build an image well — base image, layering, bake-in vs volume, pod vs serverless (queue/LB) contract | reference/building-images.md |
| Where data lives — container disk vs network volume, model caching, S3 access | reference/storage.md |
| Which GPU / how much VRAM / cost & availability / data centers | reference/gpu-selection.md |
| Reaching a pod or endpoint over HTTP (proxy URLs, exposed ports) | reference/networking.md |
| Common mistakes and how to avoid them | reference/gotchas.md |
What ships with it
14 files 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.
- evals/pod-service-loop.eval.md 1.3 KB
- evals/verify-with-real-request.eval.md 1.3 KB
- reference/building-images.md 8.6 KB
- reference/concepts.md 5.9 KB
- reference/development-loop.md 3.4 KB
- reference/docker.md 6.6 KB
- reference/endpoint-workflows.md 5.2 KB
- reference/getting-started.md 5.6 KB
- reference/gotchas.md 10.0 KB
- reference/gpu-selection.md 5.6 KB
- reference/networking.md 5.3 KB
- reference/on-pod-setup.md 4.2 KB
- reference/pod-workflows.md 6.2 KB
- reference/storage.md 7.2 KB
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.
- 3d ago First seen · 43 lines · 120 tokens per session scan A 6a1b7763f20c
runpod-usage is a skill published in the GitHub repository runpod/runpod-plugins-official (44 stars, last pushed 6d ago), licensed Apache-2.0. It adds 120 tokens to every session and 672 once invoked, about $0.0006 per session on Opus 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.
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