byof-onboard

byof-onboard is a skill for Claude Code, Codex from nebius/nebius-physical-ai. It costs 40 tokens per session (3,181 once invoked), scanned A, original, Apache-2.0.

A procedure for packaging an existing public or private code repository as a workbench solution. BYOF means “bring your own fork”; the process builds it into a container, publishes it to an authorized registry, and tests it on Kubernetes.

In plain words
What is it for?
Use it to onboard Ubuntu or Isaac Lab projects, add workflow and tool references, and run live smoke tests.
Why use it?
It gives an unfamiliar repository a repeatable path into the workbench without assuming it already follows the platform's packaging rules.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash npa/scripts/verify_byof_onboarding_live.sh.

Good fit Use it to onboard Ubuntu or Isaac Lab projects, add workflow and tool references, and run live smoke tests.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/nebius/nebius-physical-ai
agentmods
npx agentmods add skills/nebius/nebius-physical-ai/byof-onboard

Made for: Claude Code, Codex.

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.

agentmods badge for byof-onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/byof-onboard/github.svg)](https://agentmods.dev/skills/nebius/nebius-physical-ai/byof-onboard)
Your own site
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/byof-onboard"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/byof-onboard/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.

agentmods 80×15 button for byof-onboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/byof-onboard"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/byof-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,181 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 36
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 227
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.03181
Opus 5 $0.00020 $0.01590
Sonnet 5 $0.00008 $0.00636
Haiku 4.5 $0.00004 $0.00318

Measured 4d ago against content hash ecf407317805, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

byof-onboard 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 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.

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.

skills/workflows/byof-onboard/SKILL.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BYOF Solution Onboard

Canonical procedure for bring-your-own-fork onboarding. The NPA agent onboard_solution intent and run_byof_repo.py both follow this skill — do not duplicate long command blocks in chat replies; point operators here.

When To Use

  • Containerize a public GitHub/GitLab or private GitHub repo and push to an authorized registry
  • Onboard a new workbench solution (toolRef + workflow + live smoke)
  • LeIsaac validation (Isaac Lab base + datagen or RL)
  • Generic Ubuntu BYOF (any OSS repo, no sim stack required)

For registry/catalog admission of an OSS Physical AI solution, also load skills/workflows/oss-solution-registry-onboard/SKILL.md. BYOF proves the repo can be packaged and run; registry admission additionally requires reading upstream docs, listing that solution's native capabilities (use upstream names), encoding each accepted claim as a solution-smoke with a named JSON artifact, and collecting live Nebius validation evidence. See docs/workbench/oss-solution-catalog.md.

Prerequisites

  • ~/.npa/config.yaml — project alias, registry override, kubernetes block (cluster_name, gpu_profile)
  • Exact-host registry credentials when the selected registry is private
  • Private GitHub source: a fine-grained read-only token in an environment variable, or an existing authenticated gh login. Never put it in the URL.
  • Operator host: Docker, nebius CLI, sky (for GPU/container smokes)
  • SkyPilot must have Kubernetes enabled for the target context. The solution-smoke runner runs sky check kubernetes automatically before submission; if debugging manually, run it with the resolved kubeconfig/context before sky jobs launch. Container/solution smokes use direct sky launch --down by default because the managed-jobs controller can retain a stale enabled-infra cache for newly synced Kubernetes contexts.

Project resolution: npa.workflows.byof.live.resolve_byof_project() — never hardcode VM paths.

Base Image Profiles

Read the full file on GitHub · 255 lines

Changes

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.

  1. 4d ago Changed ecf407317805
  2. 9d ago First seen · 255 lines · 40 tokens per session scan A 474c3d49b8a9

Subscribe to this mod's changes

byof-onboard is a skill published in the GitHub repository nebius/nebius-physical-ai (29 stars, last pushed today), licensed Apache-2.0. It adds 40 tokens to every session and 3,181 once invoked, about $0.0002 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 2026-09-03.

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