Description: <br>
Create a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. Use for fast new Workflow scaffolding. <br>
This skill is ready for commercial/non-commercial use. <br>
Owner
NVIDIA <br>
License/Terms of Use: <br>
Apache-2.0 <br>
Use Case: <br>
Developers and engineers creating new Isaac for Healthcare Workflow scaffolds for rapid prototyping and iterative workflow authoring. <br>
Deployment Geography for Use: <br>
Global <br>
Requirements / Dependencies: <br>
Requires API Key or External Credential: [Not Specified] <br> Credential Type(s): [None identified] <br>
Do not include secrets in prompts/logs/output; use least-privilege credentials; rotate keys as appropriate. <br>
Known Risks and Mitigations: <br>
Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills. <br> Mitigation: Review and scan skill before deployment. <br>
Reference(s): <br>
Skill Output: <br>
Output Type(s): [Files, Shell commands, Configuration instructions] <br> Output Format: [Markdown with inline bash code blocks] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [Creates five files: Scene asset, Scene class, scene manifest, Workflow module, and contract test] <br>
Evaluation Agents Used: <br>
- Claude Code (
aws/anthropic/bedrock-claude-opus-4-8) <br> - Codex (
openai/openai/gpt-5.5) <br>
Evaluation Tasks: <br>
5 evaluation tasks (5 positive), 3 attempts per task, evaluated in k8s-sandbox isolation. <br>
Evaluation Metrics Used: <br>
Reported benchmark dimensions: <br>
- Security: Checks whether the skill is safe to use — no unsafe operations, secret leakage, or unauthorized access. <br>
- Correctness: Checks whether the final answer is correct against the reference answer. <br>
- Discoverability: Checks whether the right skill was loaded and activated when needed. <br>
- Effectiveness: Checks whether the skill helped complete the user's goal and expected workflow. <br>
- Efficiency: Checks whether the skill avoided wasted tool calls and token usage. <br>
Underlying evaluation signals used in this run: <br>
security: Unsafe operations, secret leakage, and unauthorized access. <br>accuracy: Final-answer correctness against the reference answer. <br>skill_execution: Whether the expected skill was selected, decoys were avoided, and the workflow executed. <br>goal_accuracy: Whether the user's goal was achieved. <br>behavior_check: Whether the expected workflow behavior was followed. <br>skill_efficiency: Tool-call productivity (routing scored under Discoverability). <br>token_efficiency: Actual uncached prompt plus completion usage. <br>
Evaluation Results: <br>
| Measure | Claude Code (Baseline → Skill Uplift) | Codex (Baseline → Skill Uplift) |
|---|---|---|
| Overall | 80.8% | 79.3% |
| Security | 79.2% → 100.0% (+20.8 pts) | 100.0% → 100.0% (±0.0 pts) |
| Correctness | 35.0% → 80.0% (+45.0 pts) | 34.6% → 72.0% (+37.4 pts) |
| Discoverability | 98.2% | 93.0% |
| Effectiveness | 13.8% → 37.0% (+23.2 pts) | 24.8% → 34.0% (+9.2 pts) |
| Efficiency | 89.0% | 97.3% |
Skill Version(s): <br>
0.8.0 (source: frontmatter) <br>
Ethical Considerations: <br>
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal team to ensure this skill meets requirements for the relevant industry and use case and addresses unforeseen product misuse. <br>
(For Release on NVIDIA Platforms Only) <br> Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here. <br>