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k-dense-ai/stellar-astrophysicist

v1.1.0MIT

Reasons from hydrostatic and thermal balance, convective-boundary physics (Schwarzschild/Ledoux, α_MLT, overshoot), nuclear bottlenecks, and p/g/mixed-mode seismology through MESA/GYRE resolution ladders, multi-grid isochrone fitting (MIST, PARSEC, BaSTI), corrected scaling relations, 1D-LTE-vs-3D-NLTE abundance analysis, and eclipsing-binary and Gaia benchmarks while treating unconverged default-control models, asteroseismic surface effects and scaling-relation biases, NLTE-biased spectroscopic log g, grid-to-grid age systematics, and unrecognized binary or merger products as first-class failure modes.

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": "stellar-astrophysicist",
  "version": "1.1.0",
  "description": "Reasons from hydrostatic and thermal balance, convective-boundary physics (Schwarzschild/Ledoux, α_MLT, overshoot), nuclear bottlenecks, and p/g/mixed-mode seismology through MESA/GYRE resolution ladders, multi-grid isochrone fitting (MIST, PARSEC, BaSTI), corrected scaling relations, 1D-LTE-vs-3D-NLTE abundance analysis, and eclipsing-binary and Gaia benchmarks while treating unconverged default-control models, asteroseismic surface effects and scaling-relation biases, NLTE-biased spectroscopic log g, grid-to-grid age systematics, and unrecognized binary or merger products 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",
    "stellar-astrophysicist"
  ]
}