Update to MUSITU Axiom

{
  "description": "Build, repair, audit, and stress-test financial models and valuations using MUSITU Axiom. Use for DCF, NPV, IRR, forecasts, unit economics, cash-flow models, scenario models, and model review.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 259
    },
    {
      "relative_path": "references/COMMERCIAL.md",
      "size_in_bytes": 751
    },
    {
      "relative_path": "references/PROOF.md",
      "size_in_bytes": 537
    },
    {
      "relative_path": "references/QUALITY.md",
      "size_in_bytes": 2262
    },
    {
      "relative_path": "references/ROUTING.md",
      "size_in_bytes": 504
    },
    {
      "relative_path": "scripts/proof_envelope.py",
      "size_in_bytes": 1023
    },
    {
      "relative_path": "scripts/scenario_grid.py",
      "size_in_bytes": 691
    }
  ],
  "name": "musitu-financial-modeling",
  "skill_md_contents": "---\nname: musitu-financial-modeling\ndescription: \"Build, repair, audit, and stress-test financial models and valuations using MUSITU Axiom. Use for DCF, NPV, IRR, forecasts, unit economics, cash-flow models, scenario models, and model review.\"\n---\n# MUSITU Financial Modeling\nRead `references/QUALITY.md` and `references/PROOF.md` for material models.\n\n## Workflow\n1. Normalize periods, currencies, units and signs.\n2. Create an explicit assumption register.\n3. Build calculations in dependency order.\n4. Reconcile identities, cash flows and totals.\n5. Run base, upside and downside cases.\n6. Run sensitivity on the highest-impact drivers.\n7. Identify break-even and value-destruction thresholds.\n8. Return the model result with verification status and residual uncertainty.\n"
}