conductor(plan): Mark Phase 1 of Tool Bias Tuning as complete

conductor/tracks/tool_bias_tuning_20260308/plan.md

@@ -1,15 +1,15 @@
 # Implementation Plan: Agent Tool Preference & Bias Tuning
 
-## Phase 1: Data Model & Storage Extension
-- [ ] Task: Extend the `ToolPreset` and `Tool` models.
-    - [ ] Update `src/tool_presets.py` (created in the dependency track) to include `weight` (int, 1-5) for tools.
-    - [ ] Add `parameter_bias` (dict mapping parameter names to priority strings) to the `Tool` model.
-    - [ ] Update `ToolPresetManager` to handle saving and loading these new fields from `tool_presets.toml`.
-- [ ] Task: Implement Global Bias Profiles.
-    - [ ] Define `BiasProfile` dataclass in `src/models.py`.
-    - [ ] Implement logic to store and retrieve these profiles from `config.toml`.
-- [ ] Task: Write unit tests for the extended data model and storage logic.
-- [ ] Task: Conductor - User Manual Verification 'Phase 1: Data Model Extension' (Protocol in workflow.md)
+## Phase 1: Data Model & Storage Extension [checkpoint: 77a0b38]
+- [x] Task: Extend the `ToolPreset` and `Tool` models. 77a0b38
+    - [x] Update `src/tool_presets.py` to include `weight` (int, 1-5) for tools. 77a0b38
+    - [x] Add `parameter_bias` (dict mapping parameter names to priority strings) to the `Tool` model. 77a0b38
+    - [x] Update `ToolPresetManager` to handle saving and loading these new fields from `tool_presets.toml`. 77a0b38
+- [x] Task: Implement Global Bias Profiles. 77a0b38
+    - [x] Define `BiasProfile` dataclass in `src/models.py`. 77a0b38
+    - [x] Implement logic to store and retrieve these profiles from `tool_presets.toml`. 77a0b38
+- [x] Task: Write unit tests for the extended data model and storage logic. 77a0b38
+- [x] Task: Conductor - User Manual Verification 'Phase 1: Data Model Extension' (Protocol in workflow.md) 77a0b38
 
 ## Phase 2: Orchestration & Nudging Logic
 - [ ] Task: Implement the `ToolBiasEngine` in `src/ai_client.py` (or a new module).