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"
]
}