{
  "ocm": "1",
  "id": "docxology-metainformant-math",
  "kind": "skill",
  "name": "math",
  "description": "tests for the math module (population genetics, Bayesian, decision theory…). Files (verified 2026-09-05): 28 test modules + `__init__.py`, covering population genetics (coalescent, demography, effective size, Fst, LD, selection, statistics, popgen shim), core utilities, Bayesian inference, decision theory, epidemiology, evolutionary dynamics, perception, and quantitative genetics.",
  "publisher": "docxology",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding",
      "math"
    ],
    "tags": [
      "skill-md",
      "github-agents"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "tests for the math module (population genetics, Bayesian, decision theory…). Files (verified 2026-09-05): 28 test modules + `__init__.py`, covering population genetics (coalescent, demography, effective size, Fst, LD, selection, statistics, popgen shim), core utilities, Bayesian inference, decision theory, epidemiology, evolutionary dynamics, perception, and quantitative genetics."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github-agents",
      "repository": "https://github.com/docxology/MetaInformAnt",
      "path": "tests/math/AGENTS.md",
      "ref": "524660cd2c21f84c04fd32700cb6e6a9c2a35a86",
      "url": "https://github.com/docxology/MetaInformAnt/blob/524660cd2c21f84c04fd32700cb6e6a9c2a35a86/tests/math/AGENTS.md",
      "key": "docxology/MetaInformAnt/tests/math/AGENTS.md"
    }
  },
  "instructions": "# AGENTS.md — `MetaInformAnt/tests/math/`\n\ntests for the math module (population genetics, Bayesian, decision theory…).\nFiles (verified 2026-09-05): 28 test modules + `__init__.py`, covering population genetics (coalescent, demography, effective size, Fst, LD, selection, statistics, popgen shim), core utilities, Bayesian inference, decision theory, epidemiology, evolutionary dynamics, perception, and quantitative genetics.\n\n\n## Conventions\n- Real implementations with small deterministic data; the lexical no-mocks gate\n  applies (no `MagicMock`/`unittest.mock`).\n- Run: `env -u VIRTUAL_ENV .venv",
  "cost": {
    "context_tokens": 189
  }
}