{
  "handle": "antineutrino-safeguards",
  "distribution_name": "antineutrino-safeguards",
  "import_name": "antineutrino_safeguards",
  "version": "0.1.0",
  "package_type": "library",
  "install": {
    "canonical_command": "pip install omegaxiv && ox install antineutrino-safeguards==0.1.0",
    "install_target": "packages/antineutrino-safeguards/dist/antineutrino_safeguards-0.1.0-py3-none-any.whl"
  },
  "core_exports": [
    {
      "source_path": "experiments/EXP-ED-01/src/exp_ed_01/simulation.py",
      "source_symbol": "run_simulation",
      "exported_module": "antineutrino_safeguards.simulation",
      "exported_symbol": "FusionSafeguardsSimulator",
      "rationale": "Primary simulation contribution for regime-by-baseline detectability metrics under nuisance shifts."
    },
    {
      "source_path": "experiments/EXP-ED-01/src/exp_ed_01/analysis.py",
      "source_symbol": "summarize_claims",
      "exported_module": "antineutrino_safeguards.analysis",
      "exported_symbol": "summarize_claims",
      "rationale": "Claim-closure summary metrics (DMM-C1/C2/C3) are a core reusable analysis surface."
    },
    {
      "source_path": "experiments/EXP-ED-01/src/exp_ed_01/symbolic.py",
      "source_symbol": "run_sympy_audit",
      "exported_module": "antineutrino_safeguards.symbolic",
      "exported_symbol": "run_symbolic_audit",
      "rationale": "Symbolic consistency checks provide reusable theorem-audit hooks for safeguards workflows."
    }
  ],
  "mcp": {
    "server_name": "antineutrino-safeguards",
    "transport": "stdio",
    "entrypoint": {
      "kind": "python_module",
      "module": "antineutrino_safeguards.mcp_server",
      "args": [
        "--serve"
      ]
    },
    "env": {},
    "startup_timeout_sec": 20,
    "tool_timeout_sec": 60,
    "files": [
      "packages/antineutrino-safeguards/src/antineutrino_safeguards/mcp_server.py",
      "packages/antineutrino-safeguards/src/antineutrino_safeguards/mcp_adapter.py",
      "packages/antineutrino-safeguards/mcp_server.example.json"
    ]
  },
  "paths": {
    "readme": "packages/antineutrino-safeguards/README.md",
    "requirements": "packages/antineutrino-safeguards/requirements.txt",
    "dependency_graph": "packages/antineutrino-safeguards/dependency_graph.json"
  },
  "artifacts": [
    {
      "kind": "wheel",
      "path": "packages/antineutrino-safeguards/dist/antineutrino_safeguards-0.1.0-py3-none-any.whl",
      "sha256": "187e52b16c943e10f0972243eee398244151709820d75a6f30de80b7c50669a4",
      "size_bytes": 12993,
      "url": null
    },
    {
      "kind": "sdist",
      "path": "packages/antineutrino-safeguards/dist/antineutrino_safeguards-0.1.0.tar.gz",
      "sha256": "7d8c21b6e87fbf1b07541ec0dc5cc7b1d5a2e5919ed6b52604c61f78c822bc03",
      "size_bytes": 12220,
      "url": null
    }
  ],
  "validation": {
    "lint": "/tmp/antinu_pkg_venv/bin/ruff check packages/antineutrino-safeguards/src packages/antineutrino-safeguards/tests packages/antineutrino-safeguards/examples",
    "typecheck": "/tmp/antinu_pkg_venv/bin/mypy packages/antineutrino-safeguards/src",
    "tests": "/tmp/antinu_pkg_venv/bin/pytest -q packages/antineutrino-safeguards/tests",
    "smoke_install": "/tmp/antinu_smoke_venv/bin/pip install packages/antineutrino-safeguards/dist/antineutrino_safeguards-0.1.0-py3-none-any.whl",
    "smoke_import": "/tmp/antinu_smoke_venv/bin/python -c \"from antineutrino_safeguards.simulation import FusionSafeguardsSimulator; from antineutrino_safeguards.config import MonitoringConfig; from antineutrino_safeguards.analysis import summarize_claims; records=FusionSafeguardsSimulator(MonitoringConfig(seeds=(1,), standoff_m=(25.0,))).run(); summarize_claims(records)\"",
    "smoke_mcp": "/tmp/antinu_smoke_venv/bin/python -m antineutrino_safeguards.mcp_server --help"
  }
}