Update to MUSITU Axiom

{
  "description": "Measure portfolio, market, concentration, drawdown, exposure, liquidity, and scenario risk using MUSITU Axiom. Use for risk diagnostics, stress testing, portfolio analysis, and risk-budgeting. Never execute trades.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 247
    },
    {
      "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-risk-stress",
  "skill_md_contents": "---\nname: musitu-risk-stress\ndescription: \"Measure portfolio, market, concentration, drawdown, exposure, liquidity, and scenario risk using MUSITU Axiom. Use for risk diagnostics, stress testing, portfolio analysis, and risk-budgeting. Never execute trades.\"\n---\n# MUSITU Risk & Stress\nRead `references/QUALITY.md` and use proof-carrying verification for high-consequence outputs.\n\n## Workflow\n1. Normalize positions, exposures, currency and signs.\n2. Compute requested risk measures.\n3. Identify concentration and contribution.\n4. Run adverse scenarios.\n5. Test correlation and volatility sensitivity where relevant.\n6. Identify first failure or pressure conditions.\n7. Separate measurement from recommendation.\n8. Return risk drivers, uncertainty and mitigation scenarios.\n\nNever execute or facilitate a securities transaction.\n"
}