Update to MUSITU Axiom

{
  "description": "Generate and evaluate structured base, upside, downside, stress, and counterfactual scenarios across financial and business models.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 257
    },
    {
      "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-scenario-factory",
  "skill_md_contents": "---\nname: musitu-scenario-factory\ndescription: \"Generate and evaluate structured base, upside, downside, stress, and counterfactual scenarios across financial and business models.\"\n---\n# MUSITU Scenario Factory\nRead `references/QUALITY.md`.\n\n## Workflow\n1. Define scenario variables, ranges and dependencies.\n2. Separate shared assumptions from scenario-specific assumptions.\n3. Generate scenarios without hidden assumption changes.\n4. Execute comparable calculations consistently.\n5. Identify nonlinearities, cliffs and breakpoints.\n6. Rank drivers by outcome sensitivity.\n7. Flag dominated, infeasible or internally inconsistent scenarios.\n8. Return a scenario decision map with uncertainty.\n"
}