## Description:
Use to run top-level VSS fusion search on archived video, or to ingest video files / RTSP streams for search.
This skill is for demonstration purposes and not for production usage.
## Owner
NVIDIA
### License/Terms of Use:
Apache-2.0
## Use Case:
Developers and engineers building video analytics applications who need to perform natural-language search across archived video content or ingest video files and RTSP streams for embedding-based retrieval.
### Deployment Geography for Use:
Global
## Known Risks and Mitigations:
Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills.
Mitigation: Review and scan skill before deployment.
## Reference(s):
- [Discovery Modes](references/discovery_modes.md)
- [Troubleshooting](references/troubleshooting.md)
- [NVIDIA VSS Documentation](https://docs.nvidia.com/vss/latest/index.html)
- [GitHub Repository](https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization)
## Skill Output:
**Output Type(s):** [API Calls, Shell commands, Analysis]
**Output Format:** [Markdown with inline bash code blocks]
**Output Parameters:** [1D]
**Other Properties Related to Output:** [None]
## Evaluation Tasks:
3-Tier Evaluation via NVSkills-Eval (external profile). Tier 1 static validation ran 9 checks (3 LOW findings). Tier 2 deduplication ran 2 checks (0 findings). Tier 3 live agent evaluation was not available.
## Evaluation Metrics Used:
Reported benchmark dimensions:
- Security: Checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access.
- Correctness: Checks whether the agent follows the expected workflow and produces the correct final output.
- Discoverability: Checks whether the agent loads the skill when relevant and avoids using it when irrelevant.
- Effectiveness: Checks whether the agent performs measurably better with the skill than without it.
- Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work.
## Skill Version(s):
3.2.0 (source: frontmatter)
## Ethical Considerations:
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.
(For Release on NVIDIA Platforms Only)
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail).