init

algorithm-cards/model-inference.card.yaml

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+algorithm_card:
+  id: "oipf.algorithm.model-inference"
+  name: "Model Inference"
+  status: "draft"
+  purpose: "Run a declared ML, physics, statistical or rules model under a model contract."
+  algorithm_type: "external"
+  inputs:
+    - model contract
+    - contextualised time-series window
+    - operating state
+    - constraints
+  outputs:
+    - prediction
+    - confidence
+    - explanation payload
+    - recommended action candidate
+  implementation:
+    type: "external_model_runtime"

algorithm-cards/recommendation-generation.card.yaml

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+algorithm_card:
+  id: "oipf.algorithm.recommendation-generation"
+  name: "Recommendation Generation"
+  status: "draft"
+  purpose: "Convert model outputs into a governed human-readable and machine-readable operational recommendation."
+  algorithm_type: "composite"
+  inputs:
+    - prediction
+    - confidence
+    - constraints
+    - economic parameters
+    - workflow policy
+  outputs:
+    - recommendation object
+    - approval requirement
+    - expected impact
+    - audit metadata

algorithm-cards/tag-contextualisation.card.yaml

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+algorithm_card:
+  id: "oipf.algorithm.tag-contextualisation"
+  name: "Tag Contextualisation"
+  status: "draft"
+  purpose: "Map raw industrial tags to assets, variables, units, process states and semantic roles."
+  algorithm_type: "composite"
+  inputs:
+    - tag list
+    - asset hierarchy
+    - historian metadata
+    - engineering documents
+  outputs:
+    - canonical tag mapping
+    - validation warnings
+  implementation:
+    type: "external_or_runtime"
+    note: "Implementation is runtime-specific; this card describes the governed algorithm object."