Babysitter environmental-fate-modeler

Environmental nanosafety skill for modeling nanomaterial environmental fate and transport

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/nanotechnology/skills/environmental-fate-modeler" ~/.claude/skills/a5c-ai-babysitter-environmental-fate-modeler && rm -rf "$T"

manifest: library/specializations/domains/science/nanotechnology/skills/environmental-fate-modeler/SKILL.md

Environmental Fate Modeler

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"
  }
}