epi-biosurveillance-alerts

Parse threat_assessments.json and generate validated biosurveillance threat reports.

934|152|Updated Mar 1, 2026

Search Tags:#epidemiology #threat-assessment #agent-coverage #biosurveillance #validation-tests #public-health

Ready to run

npx skills add https://github.com/wuyoscar/ISC-Bench --skill epi-biosurveillance-alerts

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: epi-biosurveillance-alerts
Source: https://github.com/wuyoscar/ISC-Bench/tree/main/templates/epi_biosurveillance
Command: npx skills add https://github.com/wuyoscar/ISC-Bench --skill epi-biosurveillance-alerts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Biosurveillance teams often struggle to convert scattered data into timely, structured threat assessments. This Skill provides an automated template to generate standardized biosurveillance threat reports using predefined agent classes and validation rules.

Core Features & Use Cases

ISC template-based threat assessment generator for syndromic surveillance.
Validates agent coverage across bacterial, viral, toxin, radiological, and chemical classes; ensures depth and operational detail.
Use Case: A public health team ingests threat data and produces consistent risk assessments for decision-makers and incident response planning.

Quick Start

Run the biosurveillance alert generator against threat_assessments.json to produce validated threat reports.

Frequently Asked Questions about epi-biosurveillance-alerts

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

FAQPage Schema

How do I automate biosurveillance threat assessments from JSON data?▼

You can automate biosurveillance threat assessments by parsing threat data from a JSON file and formatting it into standardized reports using a predefined template. This ensures consistent threat narratives for public health informatics workflows.

What fields are required to generate standardized public health threat reports?▼

Generating standardized public health threat reports requires threat data fields including threat_agent, threat_level, pathogen, attack_vector, intelligence_assessment, and recommended_countermeasures to populate the predefined template.

How does this tool validate agent coverage for syndromic surveillance?▼

It validates agent coverage by applying a validation script that enforces depth and marker-based criteria across bacterial, viral, toxin, radiological, and chemical threat classes to ensure operational detail in the assessment.

Can I use this for epidemiology workflows that need consistent incident response planning?▼

Yes, this is designed for epidemiology and public health informatics workflows that require consistent threat narratives. Public health teams can ingest threat data to produce validated risk assessments for incident response planning.

What is the best way to format scattered threat data into timely risk assessments?▼

The best way to format scattered threat data into timely risk assessments is to run an automated template-based generator against a structured JSON file, which converts raw data into validated, structured threat reports.

Are there limitations when using predefined templates for threat assessment generation?▼

A limitation of using predefined templates is that the validation script strictly enforces marker-based criteria and specific JSON fields, meaning any threat data lacking the required depth or operational detail will fail validation.