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 nebius/nebius-physical-ai --skill gpu-capacity-quota-plangit clone --depth 1 https://github.com/nebius/nebius-physical-aiWrote 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/nebius/nebius-physical-ai/gpu-capacity-quota-plan)<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/gpu-capacity-quota-plan"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/gpu-capacity-quota-plan/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/nebius/nebius-physical-ai/gpu-capacity-quota-plan"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/gpu-capacity-quota-plan.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 | $0.00064 | $0.01050 |
| Opus 5.5 | $0.00026 | $0.00420 |
| Sonnet 5.5 | $0.00013 | $0.00210 |
| Haiku 4.5 | $0.00006 | $0.00105 |
Grade A, and why
gpu-capacity-quota-plan 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPU Capacity and Quota Planning
The commands, jq filters, and observed API behavior are in the human guide:
Plan GPU quota and capacity.
Follow its sections in this order.
When To Use
- Before creating or starting a GPU VM directly with the
nebiusCLI, or when a launch needs quotas or capacity advice beyond whatnpa cluster upchecks. - When a launch fails and you need to decide between raising quota, waiting, moving region, or changing preset.
- When planning a retry loop across regions, and after it, to clean up.
Procedure
- Size the demand across every quota a GPU VM uses (guide: "Size the
demand"), including
vpc.allocation.countand the public IPv4 quota. - Check headroom in the tenant rows and in any project row with a limit. Additional demand must fit both. For a start, do not count the stopped VM's existing instance, disks, or retained allocations again; check compute resources acquired on start and any new resources. Stopped VMs keep their instance and disk quota until deleted.
- Read capacity advice for the exact platform and preset.
availabledecides; 0 or missing means a launch is unlikely at any availability level. Use onlyDATA_STATE_FRESHrows. Check quota usage before treatingAVAILABILITY_LEVEL_LIMIT_REACHEDas a hardware shortage. Advice is not a guarantee. - Pick a target within the authorized region, project, fabric, platform, preset, and allocation scope when quota and fresh advice both fit. Otherwise propose quota (step 5) or alternatives. Obtain approval before launching outside that scope. Unavailable or stale advice is unknown; record that limitation if the authorized search proceeds without it.
- Quota requests go to a tenant admin through the web console. Hand the user
the quota name, region, current limit, and requested limit. A
quota-allowance createcall only sets a project allowance; it never raises tenant quota. - Launch with a run label and record IDs. A launch succeeds only when the
operation has finished without an error code and
instance getreportsRUNNING. - Classify failures from operation details, never from the status code:
QuotaFailurenames the quota to free or raise;NotEnoughResourcesmeans capacity, so retry later or move, and do not raise quota. Auth, image, cloud-init, and workload errors are neither. - Retry within the authorized scope: one region at a time, reuse stopped
VMs with start-specific quota accounting, and stop at the first confirmed
RUNNINGVM. Follow the operator's cadence and explicit limits; do not add time, cost, or attempt limits when none were requested. - Clean up unused attempts by ID under the cleanup authorization already given. Keep the successful VM and its resources. Verify ownership against the attempt inventory; ask only about IDs outside the authorized scope or unclear ownership. Preserve pre-existing or shared disks and allocations unless explicitly authorized for deletion. Continue after individual cleanup failures, report residue, and verify deleted resources return NotFound.
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.
- 11d ago First seen · 86 lines · 64 tokens per session scan A 857e2c0a522b
gpu-capacity-quota-plan is a skill published in the GitHub repository nebius/nebius-physical-ai (50 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 1,050 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 2026-10-11.
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