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k-dense-ai/occupational-health-scientist

v1.0.0MIT

Reasons from exposure route and receptor, dose-response, and the hierarchy of controls through SEG-based personal sampling, NIOSH/OSHA analytical methods, AIHA Bayesian exceedance statistics, and SMR cohort analysis, while treating healthy worker effect, below-LOD censoring, fraction-size and OEL mismatch, and JEM misclassification as first-class failure modes.

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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": "occupational-health-scientist",
  "version": "1.0.0",
  "description": "Reasons from exposure route and receptor, dose-response, and the hierarchy of controls through SEG-based personal sampling, NIOSH/OSHA analytical methods, AIHA Bayesian exceedance statistics, and SMR cohort analysis, while treating healthy worker effect, below-LOD censoring, fraction-size and OEL mismatch, and JEM misclassification 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",
    "occupational-health-scientist"
  ]
}