Description: <br>
Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images. <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 expanding Isaac for Healthcare workflow demonstration datasets with synthetic action-jitter variants for training and evaluation. <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): [Shell commands, Analysis] <br> Output Format: [Markdown with inline bash code blocks] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [None] <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>
2 evaluation tasks (2 positive), 3 attempts per task, each in an isolated k8s-sandbox pod. <br>
Evaluation Metrics Used: <br>
Reported benchmark dimensions: <br>
- Security: Whether the skill is safe to use (unsafe operations, secret leakage, unauthorized access). <br>
- Correctness: Whether the answer is correct against the reference answer. <br>
- Discoverability: Whether the right skill was selected, decoys avoided, and workflow executed. <br>
- Effectiveness: Whether the skill helped complete the user's goal and expected workflow (goal_accuracy 50% + behavior_check 50%). <br>
- Efficiency: Whether the skill avoided wasted tool calls and token usage (skill_efficiency 50% + token_efficiency 50%). <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 | 88.1% — baseline ran, but no comparable score was available; uplift unavailable | 70.3% — baseline ran, but no comparable score was available; uplift unavailable |
| Security | 100.0% → 100.0% (±0.0 points) | 83.3% → 50.0% (-33.3 points) |
| Correctness | 8.0% → 100.0% (+92.0 points) | 13.3% → 90.0% (+76.7 points) |
| Discoverability | 97.5% — baseline ran, but no comparable score was available; uplift unavailable | 89.0% — baseline ran, but no comparable score was available; uplift unavailable |
| Effectiveness | 11.0% → 57.5% (+46.5 points) | 5.8% → 35.0% (+29.2 points) |
| Efficiency | 85.5% — baseline ran, but no comparable score was available; uplift unavailable | 87.7% — baseline ran, but no comparable score was available; uplift unavailable |
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>