Description: <br>
Orient users to the i4h workflow runtime and route them to the correct stage skill. <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 working with Isaac for Healthcare workflows use this skill to understand the runtime architecture, get support, and navigate to the correct stage skill for their task. <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): [Analysis, Configuration instructions] <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 (1 positive, 1 negative) across 3 attempts per task in isolated k8s-sandbox pods. <br>
Evaluation Metrics Used: <br>
Reported benchmark dimensions: <br>
- Security: Whether the skill is safe to use, checking for unsafe operations, secret leakage, and unauthorized access. <br>
- Correctness: Whether the final answer is correct against the reference answer. <br>
- Discoverability: Whether the right skill was selected when needed and decoys were avoided. <br>
- Effectiveness: Whether the skill helped complete the user's goal and followed the expected workflow behavior. <br>
- Efficiency: Whether the skill avoided wasted tool calls and token usage. <br>
Underlying evaluation signals used in this run: <br>
security: Checks for unsafe operations, secret leakage, and unauthorized access. <br>skill_execution: Whether the expected skill was selected, decoys were avoided, and the workflow executed. <br>skill_efficiency: Tool-call productivity scored under Efficiency. <br>accuracy: Final-answer correctness against the reference answer. <br>goal_accuracy: Whether the user's goal was achieved. <br>behavior_check: Whether the expected workflow behavior was followed. <br>token_efficiency: Actual uncached prompt plus completion token usage. <br>
Evaluation Results: <br>
| Measure | Claude Code (Baseline → Skill Uplift) | Codex (Baseline → Skill Uplift) |
|---|---|---|
| Overall | 67.5% — baseline ran, but no comparable score was available; uplift unavailable | 72.1% — baseline ran, but no comparable score was available; uplift unavailable |
| Security | 100.0% → 87.5% (-12.5 points) | 100.0% → 87.5% (-12.5 points) |
| Correctness | 6.7% → 25.0% (+18.3 points) | 50.0% → 50.0% (±0.0 points) |
| Discoverability | 95.0% — baseline ran, but no comparable score was available; uplift unavailable | 90.0% — baseline ran, but no comparable score was available; uplift unavailable |
| Effectiveness | 10.8% → 30.6% (+19.8 points) | 26.3% → 41.7% (+15.4 points) |
| Efficiency | 99.1% — baseline ran, but no comparable score was available; uplift unavailable | 91.3% — 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>