consequence-modeler
Consequence analysis skill for dispersion modeling, fire/explosion analysis, and effect zone determination
npx skills add a5c-ai/babysitter --skill consequence-modeler --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Consequence Modeler Skill ## Purpose The Consequence Modeler Skill performs consequence analysis for hazardous material releases including dispersion modeling, fire and explosion effects, and determination of effect zones. ## Capabilities - Source term modeling - Atmospheric dispersion (Gaussian, dense gas) - Pool fire modeling - Jet fire modeling - Vapor cloud explosion (VCE) analysis - BLEVE modeling - Toxic effect assessment - Effect zone mapping ## Usage Guidelines ### When to Use - Quantifying release consequences - Establishing effect zones - Supporting siting studies - Emergency planning ### Prerequisites - Release scenarios defined - Material properties available - Site meteorological data - Receptor locations identified ### Best Practices - Use appropriate dispersion models - Consider atmospheric stability - Account for terrain effects - Document modeling assumptions ## Process Integration This skill integrates with: - Consequence Analysis - HAZOP Study Facilitation - Emergency Response Planning ## Configuration ```yaml consequence-modeler: models: - PHAST - ALOHA - custom-gaussian consequence-types: - toxic-dispersion - flammable-dispersion - fire - explosion ``` ## Out
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the consequence-modeler skill do?
Consequence analysis skill for dispersion modeling, fire/explosion analysis, and effect zone determination
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill consequence-modeler --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.