Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Rockielab/rockie-claude/plugin install rockie-claudeWrote 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/rockielab/rockie-claude/gpu-custom)<a href="https://agentmods.dev/skills/rockielab/rockie-claude/gpu-custom"><img src="https://agentmods.dev/badge/skills/rockielab/rockie-claude/gpu-custom/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/rockielab/rockie-claude/gpu-custom"><img src="https://agentmods.dev/badge/skills/rockielab/rockie-claude/gpu-custom.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 | $0.00150 | $0.01173 |
| Opus 5 | $0.00075 | $0.00587 |
| Sonnet 5 | $0.00030 | $0.00235 |
| Haiku 4.5 | $0.00015 | $0.00117 |
Grade A, and why
gpu-custom scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- gpu-custom — 86% identical, 16 lines differ
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/gpu-custom — runtime GPU operations in custom mode
When ROCKIE_GPU_MODE=custom, the agent doesn't drive GPU
provisioning through rockie's router. Instead, it follows the
user's own flow as documented in .claude/gpu-custom.md (populated
once by /gpu-custom-setup).
This skill is the agent's gateway to that flow.
Pre-flight checks
# Are we in custom mode?
case "${ROCKIE_GPU_MODE:-router}" in
custom) ;; # ok, proceed
router)
echo "[gpu-custom] ROCKIE_GPU_MODE=router — use rockie-gpu / /gpu-spend instead"
exit 0 ;;
*) echo "[gpu-custom] ROCKIE_GPU_MODE=${ROCKIE_GPU_MODE} — not custom; nothing to do"; exit 0 ;;
esac
# Is the setup file present?
test -s .claude/gpu-custom.md || {
echo "[gpu-custom] .claude/gpu-custom.md missing or empty"
echo " → run /gpu-custom-setup first to onboard your custom GPU flow"
exit 0
}
If both pass, read .claude/gpu-custom.md and route based on the
user's intent.
Routing user intent → setup file section
| User intent | Read this section of gpu-custom.md |
|---|---|
| "spin up a GPU" / "provision" / "start training" | §2 Provision (then §3 Connect) |
| "connect to my pod" / "ssh in" | §3 Connect |
| "what's running" / "list pods" / "status" | §4 Monitor → Status |
| "what's it costing" / "spend" / "burn rate" | §4 Monitor → Cost |
| "tear down" / "terminate" / "stop the pod" / "we're done" | §5 Terminate (verbatim — don't improvise) |
| "preemption" / "got kicked off" | §6 Optional → Preemption (if present) |
| "checkpoint" / "save state" | §6 Optional → Persistent storage (if present) |
The hard rule about §5 Terminate
The terminate command captured during onboarding was reviewed by the user for correctness. Run it verbatim. Do NOT:
- Substitute "similar" commands you think might work
- Add
--dry-runor--no-opflags the user didn't include - Skip the command because you're worried about side effects (the user wrote it; they own it)
- Run a different terminate command for "their other pod" you noticed — only act on the pod the user explicitly told you to terminate
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.
- 10d ago First seen · 105 lines · 150 tokens per session scan A 69ba83e3502b
gpu-custom is a skill published in the GitHub repository Rockielab/rockie-claude (21 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 150 tokens to every session and 1,173 once invoked, about $0.0007 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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