Vss Manage Alerts
Use this skill when operating VSS alert workflows, real-time monitoring, Alert-Bridge...
Install
npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-manage-alerts -g -a claude-code -y- Category
- Engineering
- Updated
- 4d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Use this skill when operating VSS alert workflows, real-time monitoring, Alert-Bridge subscriptions, verification verdicts, on-demand verification, always-on operation, Slack notifications, incident queries, or camera onboarding. Not for non-alert analytics.
Purpose
Operate the VSS alert pipeline (mode detection, Alert-Bridge subscriptions, verification verdicts, on-demand verification, always-on operation, Slack notifications, queries, camera onboarding, verifier-prompt customization).
Prerequisites
- The
vssCLI onPATH. The OpenClaw and Hermes harness images ship it; anywhere else, install it from the same checkout as this skill so the CLI and the skill match:uv tool install <checkout>/libs/vss/cli. - Active VSS alerts profile reachable either on Docker (
$HOST_IP:9080Alert Bridge) or through the public Ingress (VSS_PUBLIC_URLwith/alert-bridge). - Follow
../vss-build-vision-ai/references/deployment_resolution.mdfor the sharedVSS_PUBLIC_URLcontract. curlandjqon the agent host. Docker Compose mode detection may usedocker/generated.env; Kubernetes must not.
Instructions
Follow the routing tables and step-by-step workflows below. Each section that ends in workflow, quick start, or flow is intended to be executed top-to-bottom. Detailed reference material lives in references/ and helper scripts live in scripts/, call them via run_script when the skill points to a script by name.
Examples
Runnable end-to-end scenarios live under evals/ (each *.json manifest); inline curl blocks appear in each workflow below. Replay with nv-base validate <this-skill-dir> --agent-eval.
Limitations
Requires the matching VSS profile/microservice deployed and reachable. NGC-hosted models/NIMs are subject to rate-limits, GPU-memory needs, and license terms; concurrency and storage limits depend on host hardware and the profile's compose file.
