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/zayne-sprague/dr-claude-code/setup-runpodnpx skills add Zayne-sprague/Dr-Claude-Code --skill setup-runpodgit clone --depth 1 https://github.com/Zayne-sprague/Dr-Claude-CodeWrote 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/zayne-sprague/dr-claude-code/setup-runpod)<a href="https://agentmods.dev/skills/zayne-sprague/dr-claude-code/setup-runpod"><img src="https://agentmods.dev/badge/skills/zayne-sprague/dr-claude-code/setup-runpod.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 | $0.00088 | $0.01988 |
| Opus 5 | $0.00044 | $0.00994 |
| Sonnet 5 | $0.00018 | $0.00398 |
| Haiku 4.5 | $0.00009 | $0.00199 |
Grade A, and why
setup-runpod scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -H "Authorization: Bearer $RUNPOD_API_KEY" \ How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RunPod Setup Skill
This is a RIGID workflow. Follow every step in order. Do not skip phases.
Phase 0: Check for existing config
Before anything else, check if RunPod is already configured:
cat .raca/clusters.yaml 2>/dev/null | grep -A5 "type: runpod"
If a RunPod entry already exists, tell the user what's there and ask: "Would you like to reconfigure RunPod, or just verify the existing setup?"
Also check if the API key is already set:
echo ${RUNPOD_API_KEY:+set}
Phase 1: Account and API Key
Step 1.1 — Account creation
If the user doesn't have a RunPod account yet, direct them to:
"Go to https://www.runpod.io and create an account. Add a payment method before continuing — pods cannot be launched without billing configured."
Wait for the user to confirm they have an account.
Step 1.2 — Get API key
"Go to https://www.runpod.io/console/user/settings and click API Keys. Create a new key (any name). Copy it — it won't be shown again."
Security rule: Never store the API key in any file. It goes into an environment variable only.
Ask the user to paste the key, then save it to their shell profile:
# Test the key first
RUNPOD_API_KEY=<paste_here>
curl -s -H "Authorization: Bearer $RUNPOD_API_KEY" \
"https://api.runpod.io/graphql?query={myself{id,email}}" | python3 -m json.tool
If the response contains "id" and "email", the key works. Then tell the user:
"Add this to your
~/.zshrcor~/.bashrcso it persists across sessions:export RUNPOD_API_KEY=<your_key>Run
source ~/.zshrcto apply it now."
Phase 2: Understanding GPU Types and Pricing
Explain the available GPU types before the user picks a default. Present this reference:
GPU Reference (RunPod, as of early 2026)
| GPU | VRAM | Est. $/hr (community) | Est. $/hr (secure) | Best for |
|---|---|---|---|---|
| H200 SXM | 141 GB | ~$3.49 | ~$4.49 | 70B+ models, large RL |
| H100 SXM | 80 GB | ~$2.49 | ~$3.49 | 7B-70B training |
| H100 PCIe | 80 GB | ~$1.99 | ~$2.99 | 7B-70B inference |
| A100 SXM | 80 GB | ~$1.64 | ~$2.49 | 7B-70B; solid multi-GPU |
| L40S | 48 GB | ~$0.99 | ~$1.49 | Single-GPU inference/training |
| RTX 4090 | 24 GB | ~$0.44 | — | 1B-7B models, budget option |
| RTX 3090 | 24 GB | ~$0.22 | — | Smallest models, cheapest |
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.
- 4d ago First seen · 201 lines · 88 tokens per session scan A 22bee674cd84
setup-runpod is a skill published in the GitHub repository Zayne-sprague/Dr-Claude-Code (5 stars, last pushed 5mo ago), licensed MIT. It adds 88 tokens to every session and 1,988 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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