add-workbench-tool

add-workbench-tool is a skill for Claude Code, Codex from nebius/nebius-physical-ai. It costs 49 tokens per session (2,604 once invoked), scanned A, original, Apache-2.0.

A procedure for adding a workbench tool across its implementation, command-line interface, software library, catalog, container, tests, documentation, and skill files.

In plain words
What is it for?
Use it when introducing a new CPU tool, containerized service, or GPU-based workbench stage from start to finish.
Why use it?
It prevents partially added tools that build successfully but cannot be called, packaged, tested, or deployed correctly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Good fit Use it when introducing a new CPU tool, containerized service, or GPU-based workbench stage from start to finish.

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Install with agentmods
npx agentmods add skills/nebius/nebius-physical-ai/add-workbench-tool
Install

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.

Any agent
npx skills add nebius/nebius-physical-ai --skill add-workbench-tool
Clone the repo
git clone --depth 1 https://github.com/nebius/nebius-physical-ai

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 add-workbench-tool

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/add-workbench-tool"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/add-workbench-tool.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,604 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 pass 7 Sept 2026
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 $0.00049 $0.02604
Opus 5 $0.00024 $0.01302
Sonnet 5 $0.00010 $0.00521
Haiku 4.5 $0.00005 $0.00260

Measured 4d ago against content hash 415cd77c3c6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

add-workbench-tool 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/add-workbench-tool/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add A Workbench Tool

Adding a tool is not one edit. A minimal tool touches ~18 files across six phases, and ~12 separate gates fail if you skip one. Work the phases in order: each phase's gate can only pass once the previous phase exists.

CONTRIBUTING.md is the prose rationale for this layer and docs/architecture/contributor-context.md the architecture. This skill is the ordered execution path.

Decide The Archetype First

The archetype decides which phases apply. Getting this wrong means building a container nothing routes to, or a GPU stage that lands on the default pod.

Archetype Runs in Phases Examples
In-process / CPU default npa workflow pod A, B, D, E insights, dataset, scenario_gen
Containerized service own image, deployed to workbench namespace A–E detection_training, lancedb
Containerized GPU stage own image, SkyPilot task pod A–E + image routing cosmos3, nurec

In-process tools need no Dockerfile and no image-routing entry. Do not add a container "for symmetry" — a container that no toolRef routes to is dead weight the packaging and security gates still police.

The One Architectural Rule

One implementation, three thin clients. Put behavior in npa/src/npa/workbench/<tool_snake>/; the FastAPI service, the CLI, and the SDK all call into it. Never implement training, inference, ingest, or status logic twice.

The cleanest reference to copy is detection-training:

  • npa/src/npa/workbench/detection_training/service.py
  • npa/src/npa/workbench/detection_training/schemas.py
  • npa/src/npa/cli/workbench/detection_training.py
  • npa/src/npa/sdk/workbench/detection_training.py

LeRobot (npa/src/npa/cli/workbench/lerobot.py) is the richest tool but keeps much of its logic as CLI orchestration. Read it for CLI surface breadth, not as the layering model to copy.

Naming

Pick the name once; it derives everything else. <tool> is kebab-case, <tool_snake> is snake_case.

Read the full file on GitHub · 198 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 415cd77c3c6f
  2. 8d ago First seen · 198 lines · 49 tokens per session scan A 82add7707c2b

Subscribe to this mod's changes

add-workbench-tool is a skill published in the GitHub repository nebius/nebius-physical-ai (29 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 2,604 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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