Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/npa-agent)<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/npa-agent"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/npa-agent/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/npa-agent"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/npa-agent.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 | $0.00027 | $0.08414 |
| Opus 5 | $0.00014 | $0.04207 |
| Sonnet 5 | $0.00005 | $0.01683 |
| Haiku 4.5 | $0.00003 | $0.00841 |
Grade A, and why
npa-agent 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 yesterday.
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 — 669 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NPA Agent VM
The NPA agent is a public HTTPS workbench VM with basic-auth UI, grounded chat, Sim Assets + Cameras panels, embedded Rerun viewer, and Sim2Real submit hooks.
When To Use
- Deploy, bootstrap, or verify an agent VM (
npa agent …) - Fresh deploy / teardown loops: load
skills/workflows/agent-fresh-operate/SKILL.md - Debug chat hallucinations (raw
GET /api/…replies) or false “Loaded Franka” messages - Fix Rerun iframe black screen (basic auth + wasm fetch)
- Operate customer HTTPS access and sign-in UX
- Describe this / viewer feedback: load
skills/atomic/agent-visual-feedback/SKILL.md
Bootstrap And Verify
npa/.venv/bin/npa agent fresh-setup --project <alias> --name agent \
--project-id <project-id> --tenant-id <tenant-id> --region <region> \
--tf-var ssh_cidr_block=<operator-cidr> \
--tf-var application_cidr_block=<operator-cidr>
npa/.venv/bin/npa agent bootstrap --project rtxpro --name agent
# Existing agents missing credentials: refresh long-lived npa-agent SA + restage VM env
npa/.venv/bin/npa agent bootstrap --project rtxpro --name agent --refresh-credentials
NPA_AGENT_CHAT_LIVE=1 npa/.venv/bin/npa agent verify-live --project rtxpro --name agent
bash npa/scripts/verify_agent_franka.sh
bash npa/scripts/verify_agent_rerun_bundle.sh
bash npa/scripts/verify_byof_onboarding_live.sh
Audit the capability surface without a VM
Before claiming the agent does or does not support something, render the exact
backend.py that bootstrap installs, run it against a sandbox state root, and
probe it. No cluster, no VM, no Token Factory call, no quota:
npa/.venv/bin/python npa/scripts/audit_agent_capabilities.py --json audit.json
It reports the registered route count, each parameterless GET's real outcome,
and whether every advertised chat intent still matches and produces a grounded
reply.
Add --serve-live to probe a real uvicorn backend:app process on loopback,
started with the same argument list as the deployed npa-agent-backend systemd
unit, instead of driving the ASGI app in-process:
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.
- yesterday Changed · +8 lines 2550e1de18b5
- 3d ago Changed · +5 lines dc48e0120882
- 4d ago Changed · +46 lines 9727b1322be4
- 11d ago First seen · 610 lines · 27 tokens per session scan A 3488d73b0b47
npa-agent is a skill published in the GitHub repository nebius/nebius-physical-ai (28 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 8,414 once invoked, about $0.0001 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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