{
  "id": "skill-area:model-explainability-testing",
  "_kind": "SkillArea",
  "_file": "domain/skill-areas/curated-testing-data-ml-skill-areas.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Model Explainability Testing",
    "description": "Validating interpretability techniques and explanation quality - feature\nattribution stability, explanation usefulness, and auditability needs.\n",
    "domains": [
      "domain:data-science",
      "domain:ml-ops"
    ],
    "expertiseLevels": [
      "intermediate",
      "expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "skill-area:model-explainability-testing",
      "to": "domain:data-science",
      "kind": "applies_to",
      "attributes": {
        "confidence": "primary"
      }
    },
    {
      "from": "skill-area:model-explainability-testing",
      "to": "domain:ml-ops",
      "kind": "applies_to",
      "attributes": {
        "confidence": "secondary"
      }
    },
    {
      "from": "skill-area:model-explainability-testing",
      "to": "skill-area:model-validation-testing",
      "kind": "requires_skill_area"
    }
  ],
  "incomingEdges": [
    {
      "from": "skill-area:explainability-interpretation",
      "to": "skill-area:model-explainability-testing",
      "kind": "requires_skill_area"
    },
    {
      "from": "skill-area:machine-learning",
      "to": "skill-area:model-explainability-testing",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "recommended"
      }
    },
    {
      "from": "lib-skill:data-science-ml--lime-explainer",
      "to": "skill-area:model-explainability-testing",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-skill:data-science-ml--shap-explainer",
      "to": "skill-area:model-explainability-testing",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    }
  ]
}