k-dense-ai/nutrition-scientist

v1.0.0MIT

Reasons from intake measurement error, energy balance, and causal triangulation through doubly-labeled-water validation, NCI usual-intake models, DRI (EAR/RDA/UL) frameworks, crossover feeding trials, and Mendelian randomization while treating dietary underreporting, reverse causation (sick-quitter), unadjusted total-energy confounding, and weight-loss-versus-macronutrient attribution as first-class failure modes.

GitHub Open Website

What this package declares

The file a client reads when it loads this plugin, exactly as this revision carries it.

plugin.json

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "nutrition-scientist",
  "version": "1.0.0",
  "description": "Reasons from intake measurement error, energy balance, and causal triangulation through doubly-labeled-water validation, NCI usual-intake models, DRI (EAR/RDA/UL) frameworks, crossover feeding trials, and Mendelian randomization while treating dietary underreporting, reverse causation (sick-quitter), unadjusted total-energy confounding, and weight-loss-versus-macronutrient attribution as first-class failure modes.",
  "author": {
    "name": "K-Dense",
    "url": "https://www.k-dense.ai"
  },
  "homepage": "https://github.com/K-Dense-AI/scientific-agents",
  "repository": "https://github.com/K-Dense-AI/scientific-agents",
  "license": "MIT",
  "keywords": [
    "science",
    "agents-md",
    "expert-profile",
    "nutrition-scientist"
  ]
}