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content-agents

content-agents is a skill for Codex from nebius/nebius-physical-ai. It costs 50 tokens per session (1,362 once invoked), scanned A, original, Apache-2.0.

A workflow for turning one self-contained USD or USDZ 3D object into a validated rigid object for Isaac, NVIDIA's simulation platform. It runs material, physics, and validation stages and produces the converted object plus provenance records.

In plain words
What is it for?
Use it to package and validate rigid 3D objects for Isaac-based simulation workflows.
Why use it?
It defines the supported input and output boundaries so the workflow does not claim to handle unsupported scenes, robots, or textures.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

not rated 105repo +6 changed 2mo ago A scan SkillSpector: pass 50 tokens original Apache-2.0

Good fit Use it to package and validate rigid 3D objects for Isaac-based simulation workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nebius/nebius-physical-ai/content-agents
View source ↗ nebius/nebius-physical-ai
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 content-agents
Clone the repo
git clone --depth 1 https://github.com/nebius/nebius-physical-ai

Made for: 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 content-agents

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/content-agents"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/content-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,362 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 $0.00050 $0.01362
Opus 5.5 $0.00020 $0.00545
Sonnet 5.5 $0.00010 $0.00272
Haiku 4.5 $0.00005 $0.00136

Measured 2mo ago against content hash 83b80e442714, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-agents 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 2mo 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/content-agents/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Agents

Use the Tier 1 content-agents-rigid-object.yaml workflow. Do not add a first-class service or present upstream Docker Compose as orchestration. NPA's declarative workflow and SkyPilot own jobs; the public zero-vendor-payload image runs upstream CLIs and a runtime-fetched isolated OVRTX subprocess.

Boundary

  • Accept one customer-owned self-contained USD/USDZ object, or the generated rigid-cube fixture.
  • Produce a readable self-contained USDZ, upstream validation evidence, provenance, and sim_asset_manifest.json for one Isaac rigid object.
  • Do not claim arbitrary scenes, articulated robots, joints, generated textures, or Genesis direct-USD consumption.
  • Run Material Agent, Physics Agent, and Validation Agent through their real upstream entrypoints. An echo manifest or NPA reimplementation is invalid.

Source and licensing boundary

Use NVIDIA Content Agents v0.5.2 at 36dbf3f274f8e256637230a05a085853f65cc175. Antioch commit 9611fc17a899dee1a2fbf4837cce300019ad7210 was reviewed; do not port it unless a new failing test proves a current upstream gap.

Content Agents is Apache-2.0. OVRTX 0.3.0.312915 is a proprietary runtime SDK, not model weights, and must be absent from every public-image layer. On first render use, fetch the exact architecture-specific wheel directly from NVIDIA's anonymous package index through upstream's reviewed lock (complete SHA-256 ed582577175e4a5b32f8b69ef9cdbfc3d7337f3786051d8b076e30a2652f6fa5).

NVIDIA's current Omniverse page says downloading or using signifies agreement. Link the official terms for review, but do not add an NPA acceptance flag, prompt, stored consent record, or replacement ACCEPT_* variable:

  • https://docs.omniverse.nvidia.com/connect/latest/common/NVIDIA_Omniverse_License_Agreement.html
  • https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/
  • https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/

Read the full file on GitHub · 106 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago Changed 83b80e442714
  2. 2mo ago First seen · 106 lines · 50 tokens per session scan A 6582c3168586

Subscribe to this mod's changes

content-agents is a skill published in the GitHub repository nebius/nebius-physical-ai (105 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 1,362 once invoked, about $0.0002 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 2026-09-03.

ContainersDevOps and cloudScientific
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