Agent Native

simready-foundation-conform-fet-000-isaac

This skill repairs Isaac packaging conformance (FET_000_ISAAC) by cleaning folder structure, adding thumbnails, and configuring physics attributes and schemas…

by NVIDIAOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (NVIDIA, NVIDIA-NeMo)

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
License
Apache-2.0 (permissive)
Pin
60b8bddpinned Oct 9, 2026
Context cost
about 890 tokenswhen the skill loads
GitHub stars
95on nvidia/simready-foundation
Scripts
None found

What it does

“Use for repairing exact FET_000_ISAAC SimReady conformance: Isaac packaging Core (clean folder, thumbnail, physics attribute/schema source layer). Use when a profile, validation report, or user request names FET_000_ISAAC; default to version `0.1.0`.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill repairs Isaac packaging conformance (FET_000_ISAAC) by cleaning folder structure, adding thumbnails, and configuring physics attributes and schemas in the correct source layer. It works on assets that already meet neutral Core (FET_000_STANDARD) requirements and produces validation reports at version 0.1.0.

When to use it

  • Validation report explicitly names FET_000_ISAAC conformance gate
  • Asset needs Isaac package cleanliness and physics layer repairs
  • Preparing assets for Isaac Sim robot core requirements
  • User requests FET_000_ISAAC conformance without specifying version

When not to

  • Asset fails neutral Core (FET_000_STANDARD) requirements first
  • Fixing robot identity or naming belongs to FET_021_ISAAC
  • Different SimReady runtime feature is required instead

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add nvidia/simready-foundation --skill simready-foundation-conform-fet-000-isaac

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install nvidia/simready-foundation simready-foundation-conform-fet-000-isaac@60b8bddb086f43c8cc394f50635b4e65b0ec36fd

Installs the commit we checked (60b8bdd).

Copy by hand

Download the folder at 60b8bdd and put it in .claude/skills/simready-foundation-conform-fet-000-isaac for Claude Code and in .agents/skills/simready-foundation-conform-fet-000-isaac for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 60b8bdd

Claude Code plugin

/plugin install nvidia-skills@claude-plugins-official

The publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "simready-foundation-conform-fet-000-isaac" by NVIDIA.

Source, pinned to commit 60b8bddb086f43c8cc394f50635b4e65b0ec36fd:
https://github.com/nvidia/simready-foundation/tree/60b8bddb086f43c8cc394f50635b4e65b0ec36fd/skills/simready-foundation-conform-fet-000-isaac

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/simready-foundation-conform-fet-000-isaac/ for Claude Code and .agents/skills/simready-foundation-conform-fet-000-isaac/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/nvidia/simready-foundation-conform-fet-000-isaac

SKILL.md at the pin

---
name: simready-foundation-conform-fet-000-isaac
description: "Use for repairing exact FET_000_ISAAC SimReady conformance: Isaac packaging Core (clean folder, thumbnail, physics attribute/schema source layer). Use when a profile, validation report, or user request names FET_000_ISAAC; default to version `0.1.0`."
license: Apache-2.0
metadata:
  author: "Shaad Boochoon <sboochoon@nvidia.com>"
  tags:
    - simready
    - conformance
    - isaac
    - core
---

# SimReady Conform FET_000_ISAAC

## Purpose

Use this exact feature skill when the selected profile, validation report, or user request names `FET_000_ISAAC`. It repairs or stages Isaac packaging Core on top of neutral Core, without drifting into robot identity or another runtime contract.

`FET_000_ISAAC` adds Isaac package cleanliness, thumbnail, and physics-layer placement expectations to an asset that already satisfies neutral Core (`FET_000_STANDARD@0.1.0`). Robot naming, schema, type, and root-joint policy belong to `FET_021_ISAAC`.

Default to `FET_000_ISAAC@0.1.0` when the user asks for this feature without a version. If the report names a different `FET_000_<RUNTIME>` feature, switch to that feature's matching skill before editing.

## Source of Truth

Before changing an asset or package, read:

- `nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_000_ISAAC-0.1.0.json`
- `nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_000_ISAAC.md`
- `nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/features/FET_000_STANDARD-0.1.0.json` (dependency)
- Requirement docs under `nv_core/tiers/simready_foundation_tier_core/simready/foundation/tier_core/capabilities/isaac_sim/robot_core/requirements/`:
  - `clean-folder.md` (RC.001)
  - `thumbnail-exist.md` (RC.004)
  - `verify-robot-physics-attribute-source-layer.md` (RC.005)
  - `verify-robot-physics-schema-source-layer.md` (RC.006)

Treat the selected JSON manifest as authoritative for dependencies and requirement IDs.

## Feature Versions

| Version | Dependencies | Requirements |
|---|---|---|
| `0.1.0` | FET_000_STANDARD@0.1.0 | `RC.001`, `RC.004`, `RC.005`, `RC.006` |

## Workflow

1. Confirm the input exists and identify the exact selected feature/version.
2. Ensure the neutral Core gate (`FET_000_STANDARD@0.1.0`) is in shape first; if Core fails, hand off to `simready-foundation-conform-fet-000-standard` before this skill.
3. Load the `FET_000_ISAAC` manifest, the feature markdown, and the RC.001/004/005/006 requirement docs.
4. Create or use a staged output location unless the user explicitly asks for in-place edits.
5. Repair only `RC.001`, `RC.004`, `RC.005`, and `RC.006`. Do not rewrite robot identity (`RC.003`, `RC.007`-`RC.009`).
6. Rerun the same profile gate or the narrowest available feature/capability validation gate.
7. Summarize the selected version, changed files, validation evidence, and the first remaining blocker or next exact feature gate.

## Feature Guidance

- Keep only the interface asset and required subfolders at the package root; remove stray sibling files.
- Place the thumbnail at `.thumbs/256x256/<asset-filename>.png` next to the validated root asset.
- Author `physics:` attributes and Physics/PhysX schemas in the physics source layer, not the base layer.
- For robot identity failures, hand off to `simready-foundation-conform-fet-021-isaac`.

## Report Fields

| Field | Meaning |
|---|---|
| `feature` | Exact feature ID and version, for example `FET_000_ISAAC@0.1.0`. |
| `input` | Source asset, package root, or package definition inspected. |
| `output` | Staged output path, or `in-place` only when explicitly requested. |
| `requirements_repaired` | Requirement IDs repaired in this pass. |
| `validation` | Command or inspection used to verify this exact feature. |
| `status` | `passed`, `failed`, `skipped`, or `blocked`. |
| `next_step` | The next exact feature skill or user/runtime evidence needed. |

From nvidia/simready-foundation at 60b8bdd, shown as plain text under its license: Apache-2.0 (permissive). The license text is in skills/simready-foundation-conform-fet-000-isaac/SKILL.md.

View SKILL.md on GitHub at 60b8bdd

Files

3 files, 5.7 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 60b8bdd
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