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/runpodctlnpx skills add runpod/runpod-plugins-official --skill runpodctlgit 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/runpodctl)<a href="https://agentmods.dev/skills/runpod/runpod-plugins-official/runpodctl"><img src="https://agentmods.dev/badge/skills/runpod/runpod-plugins-official/runpodctl.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 | $0.00090 | $0.06684 |
| Opus 5 | $0.00045 | $0.03342 |
| Sonnet 5 | $0.00018 | $0.01337 |
| Haiku 4.5 | $0.00009 | $0.00668 |
Grade C, and why
runpodctl scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
`curl -sSL https://cli.runpod.net | bash` (Linux/macOS, and Windows via WSL) or `brew install runpod/runpodctl/runpodctl`. Manual binaries and the Windows and conda steps live in the [runpodctl README](https://github.com Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl -sSL https://cli.runpod.net | bash` (Linux/macOS, and Windows via WSL) or `brew install runpod/runpodctl/runpodctl`. Manual binaries and the Windows and conda steps live in the [runpodctl README](https://github.com How it starts
The opening of the file, as written. The whole thing — 372 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Runpodctl
Manage GPU pods, serverless endpoints, templates, volumes, and models.
Install
curl -sSL https://cli.runpod.net | bash (Linux/macOS, and Windows via WSL) or brew install runpod/runpodctl/runpodctl. Manual binaries and the Windows and conda steps live in the runpodctl README, beside the install.sh they describe. The command surface comes from the binary — runpodctl <resource> <action> --help — or the generated pages under runpodctl/docs/.
Old runpodctl builds silently lack newer flags/behaviors (e.g.
--model-referencedoesn't exist before v2.4.0) and produce confusing downstream errors — and the Homebrew tap can lag well behind. So, before any work:
- Update to the latest build — check
runpodctl version, then runrunpodctl update(or reinstall from the latest release).- Pin to one recent version for the whole task.
- Never switch between an old and a new binary mid-task (that flip-flop is a known failure).
- Verify once —
runpodctl versionshows the current build before you continue.
Quick start
runpodctl update # FIRST: get on the latest build — old versions cause confusing errors
runpodctl version # confirm the current version before doing any work
export RUNPOD_API_KEY=your_key # Non-interactive auth (agents) — runpodctl reads this
runpodctl doctor # Interactive first-time setup (API key + SSH) — for humans
runpodctl --help # See current top-level commands
runpodctl pod create --help # Inspect exact current flags before creating
runpodctl gpu list # See available GPU types
runpodctl datacenter list # GPU availability per data center (use to co-locate GPU + volume)
runpodctl hub search vllm # Find a hub repo
runpodctl serverless create --hub-id <id> --name "my-vllm" # Deploy from hub
runpodctl template search pytorch # Find a template
runpodctl pod create --template-id runpod-torch-v21 --gpu-id "NVIDIA GeForce RTX 4090" # Create from template
runpodctl pod list # List your pods
What ships with it
15 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/cpu-pod-create.eval.md 503 B
- evals/create-and-wait-until-usable.eval.md 1.2 KB
- evals/error-handling.eval.md 2.8 KB
- evals/hub-deploy-serverless.eval.md 1.5 KB
- evals/image-to-template-to-serverless.eval.md 1.3 KB
- evals/invoke-urls-and-gpu-pricing.eval.md 2.0 KB
- evals/pod-auto-terminate.eval.md 792 B
- evals/pod-from-template-with-volume.eval.md 583 B
- evals/pod-ssh-connect.eval.md 734 B
- evals/registry-password-stdin.eval.md 1.1 KB
- evals/serverless-autoscale-by-requests.eval.md 816 B
- evals/serverless-invoke-job.eval.md 1.3 KB
- reference/command-reference.md 12 KB
- reference/model-caching.md 5.2 KB
- reference/output-and-errors.md 19 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 · 372 lines · 90 tokens per session scan C 2ad8850950ff
runpodctl is a skill published in the GitHub repository runpod/runpod-plugins-official (44 stars, last pushed 5d ago), licensed Apache-2.0. It adds 90 tokens to every session and 6,684 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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