human-review-routing

Route video events to a manual review queue based on confidence and thresholds.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/bettercallfan/deerflow --skill human-review-routing-bettercallfan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: human-review-routing
Source: https://github.com/bettercallfan/deerflow/tree/main/skills/custom/video_surveillance/human-review-routing
Command: npx skills add https://github.com/bettercallfan/deerflow --skill human-review-routing-bettercallfan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the decision-making process for manual review of video monitoring events, streamlining the workflow for video surveillance systems.

Core Features & Use Cases

  • Automated Decision-Making: Decides whether a video event candidate requires manual review.
  • Event Confidence Assessment: Analyzes event confidence, event type, and camera health.
  • Review Thresholds: Uses predefined review thresholds for determining the need for manual review.
  • Use Case: In a security system, after event generation and evidence creation, use this Skill to route low confidence events or high-risk types to a manual review queue for further examination.

Quick Start

Use the human-review-routing skill to automatically route the video event to a review queue.

Frequently Asked Questions about human-review-routing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate routing video surveillance events to a manual review queue?

Automating manual review routing involves assessing event confidence, event type, and camera health against predefined thresholds. This skill processes video monitoring candidates and automatically routes low confidence or high-risk events to a manual review queue.

What criteria trigger a video event candidate for manual review?

Manual review is triggered by evaluating event confidence, event type, and camera health against predefined review thresholds. When a video event falls below confidence levels or matches high-risk types, it is routed to the review queue.

When do I need decision automation for event review in security systems?

Decision automation is needed when video surveillance systems generate high event volumes, requiring efficient triage. Automating the review decision based on confidence and risk thresholds streamlines workflows by routing only relevant events for manual examination.

Can I use predefined thresholds to filter video events for manual examination?

Predefined review thresholds filter video events by comparing event confidence and camera health against set criteria. This automated assessment determines whether an event is routed to the manual review queue or dismissed.

Does this manual review routing skill depend on specific video surveillance platforms?

The skill has no external dependencies and operates independently. It integrates with video surveillance systems to automate review routing decisions after event generation and evidence creation, regardless of the specific platform.

What is the best way to handle low confidence events in a video monitoring workflow?

Automating the routing of low confidence events to a manual review queue is the best approach. This skill evaluates event confidence and camera health to ensure low confidence or high-risk events are flagged for human examination.

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