{
  "context": "Evaluates whether the solution leverages numpy-stl's mass property utilities to load STL meshes and report volume, center of gravity, inertia tensor, and density-adjusted mass. Confirms the implementation leans on the library instead of reimplementing geometry math.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Mesh loading",
      "description": "Uses numpy-stl Mesh.from_file (or equivalent) to load ASCII and binary STL inputs instead of hand-parsing triangles.",
      "max_score": 15
    },
    {
      "name": "Unit density props",
      "description": "Obtains volume, center of gravity, and inertia tensor from mesh.get_mass_properties() (or BaseMesh.get_mass_properties) to serve the unit-density case rather than manual integration.",
      "max_score": 30
    },
    {
      "name": "Density override",
      "description": "When density is provided, invokes mesh.get_mass_properties_with_density(density) or scales the get_mass_properties() outputs directly as documented, ensuring mass and inertia grow proportionally while the center stays unchanged.",
      "max_score": 25
    },
    {
      "name": "Tensor fidelity",
      "description": "Preserves the package-provided 3x3 inertia tensor orientation (row-major, symmetric) without reshaping, truncating, or reordering axes.",
      "max_score": 15
    },
    {
      "name": "Report sourcing",
      "description": "Formats output using the values returned by numpy-stl mass property calls (not hardcoded constants), keeping the linkage between computed metrics and the user-facing report.",
      "max_score": 15
    }
  ]
}