Environmental Fate Modeler

SkillDev tools

Environmental nanosafety skill for modeling nanomaterial environmental fate and transport

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Environmental Fate Modeler skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/environmental-fate-modeler/SKILL.md and read by ahel’s review.

Purpose

The Environmental Fate Modeler skill provides comprehensive modeling of nanomaterial environmental behavior, enabling prediction of transport, transformation, and ecological impact for responsible nanotechnology development.

Capabilities

Dissolution and aggregation modeling
Bioaccumulation prediction
Environmental exposure assessment
Ecotoxicity data analysis
Lifecycle impact assessment
Risk characterization

Usage Guidelines

Fate Modeling

Transformation Processes
- Model dissolution kinetics
- Predict aggregation behavior
- Account for surface transformations
Transport Modeling
- Estimate environmental partitioning
- Model transport in water/soil/air
- Consider heteroaggregation
Risk Assessment
- Compare PEC to PNEC
- Calculate risk quotients
- Identify sensitive endpoints

Process Integration

Nanomaterial Safety Assessment Pipeline
Green Synthesis Route Development

Input Schema

{
  "nanomaterial": "string",
  "release_scenario": "production|use|disposal",
  "environmental_compartment": "water|soil|air",
  "physicochemical_properties": {
    "size": "number (nm)",
    "surface_charge": "number (mV)",
    "dissolution_rate": "number"
  }
}

Output Schema

{
  "fate_prediction": {
    "half_life": "number (days)",
    "dominant_process": "string",
    "final_form": "string"
  },
  "exposure": {
    "pec": "number",
    "unit": "string",
    "compartment": "string"
  },
  "risk": {
    "pnec": "number",
    "risk_quotient": "number",
    "risk_level": "low|medium|high"
  }
}

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: environmental-fate-modeler
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter