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 solution-licensinggit 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/solution-licensing)<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/solution-licensing"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/solution-licensing/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/solution-licensing"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/solution-licensing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.07898 |
| Opus 5.5 | $0.00024 | $0.03159 |
| Sonnet 5.5 | $0.00012 | $0.01580 |
| Haiku 4.5 | $0.00006 | $0.00790 |
Grade A, and why
solution-licensing 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 1mo 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.
grep -nE 'pip install|apt-get install|curl|wget|COPY --from' npa/docker/workbench/<tool>/Dockerfile How it starts
The opening of the file, as written. The whole thing — 593 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Solution Licensing And Redistribution
Use this skill whenever work adds something new to what NPA ships: a workbench tool, a BYOF/OSS solution, a container image, a base-image swap, a model, or a dataset. It answers one question:
We are about to bundle someone else's software. Who may we hand the result to, and in what form?
"It's open source" does not answer that. The whole point of this skill is that the answer usually depends on components the top-level license does not cover.
This is engineering guidance for classifying and recording a decision, not legal advice. When a license is novel, ambiguous, or the vendor's own sources disagree, record the finding and escalate to a human rather than picking the convenient reading.
When To Use
- Onboarding an OSS or partner solution (pairs with
skills/workflows/oss-solution-registry-onboard/SKILL.md, whose License admission gate this skill implements) - Adding a workbench image or changing a Dockerfile's
FROM - Adding a model, checkpoint, or dataset to a workflow
- Deciding whether something may be published to a public registry
- Reviewing a PR that does any of the above
Before any provisioning, build, download, or submission that depends on a
third-party EULA, also load
skills/atomic/third-party-eula-preflight/SKILL.md; licensing classification
does not itself establish operator consent or upstream asset access.
When the classification says an artifact may be used but not baked or
redistributed, load skills/workflows/runtime-fetch-onboard/SKILL.md. It turns
that decision into a bootstrap-container, runtime-delivery, cache, and validation
contract so a restricted weight or SDK does not unnecessarily block the rest of
the onboarding.
The Six Artifact Boundaries
Classify each boundary separately. A permissive answer at one boundary says nothing about the others.
| Boundary | What it is | Typical trap |
|---|---|---|
| Source | The project's own code | Apache/MIT badge on a repo whose build pulls proprietary parts |
| Baked runtime | Everything the image carries: base image, wheels, SDKs, binaries, assets, fonts, textures | Free to use, not to redistribute |
| Weights | Model checkpoints, adapters, tokenizers, and auxiliary model files | Treating registry access control as permission to redistribute baked bytes |
| Datasets | Training, evaluation, calibration, and example data | Assuming a model license also covers its data |
| Runtime caches | Downloaded weights, SDKs, compiled kernels, and mutable runtime state | Assuming runtime fetch is durable, or persisting credentials beside cached bytes |
| Outputs | What the model generates when an operator runs it | Terms that restrict what the generated artifacts may be used for, and that therefore bind pipeline stages downstream of the model |
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.
- 1mo ago Changed · +13 lines 73b9af996837
- 1mo ago Changed · +56 lines 3c540f3073e3
- 1mo ago Changed · +7 lines 9d92ca4cf8ee
- 1mo ago Changed · +34 lines ae9345c849ef
- 1mo ago Changed · +4 lines a1701ab1231a
- 1mo ago First seen · 479 lines · 59 tokens per session scan A aef28185e1fb
solution-licensing is a skill published in the GitHub repository nebius/nebius-physical-ai (50 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 7,898 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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