fix(agents): Add TDD phase enforcement to tier3-worker

.opencode/agents/tier3-worker.md

@@ -84,40 +84,30 @@ Before implementing:
 3. [ ] Verify target file and line range exists
 4. [ ] Announce: "Implementing: [task description]"
 
-## Task Execution Protocol
+## Task Execution Protocol (MANDATORY TDD)
 
-### 1. Understand the Task
+### Phase 1: RED - Write Failing Test
+- Write a test that defines the expected behavior
+- Run: `manual-slop_run_powershell` with `uv run pytest tests/path/test.py -v`
+- Confirm: Test MUST fail before proceeding
+- DO NOT skip this phase
 
-Read the task prompt carefully. It specifies:
+### Phase 2: GREEN - Implement to Pass
+- Implement the minimal code to make the test pass
+- Run tests again
+- Confirm: Test MUST pass
+- DO NOT skip this phase
 
-- **WHERE**: Exact file and line range to modify
-- **WHAT**: The specific change required
-- **HOW**: Which API calls, patterns, or data structures to use
-- **SAFETY**: Thread-safety constraints if applicable
+### Phase 3: REFACTOR - Optional
+- With passing tests, improve code quality
+- DO NOT change behavior
+- Re-run tests to confirm still passing
 
-### 2. Research (If Needed)
-
-Use MCP tools to understand the context:
-
-- `manual-slop_read_file` - Read specific file sections
-- `manual-slop_py_find_usages` - Search for patterns
-- `manual-slop_search_files` - Find files by pattern
-
-### 3. Implement
-
-- Follow the exact specifications provided
-- Use the patterns and APIs specified in the task
-- Use 1-space indentation for Python code
-- DO NOT add comments unless explicitly requested
-- Use type hints where appropriate
-
-### 4. Verify
-
-- Run tests if specified: `manual-slop_run_powershell` with `uv run pytest ...`
-- Check for syntax errors: `manual-slop_py_check_syntax`
-- Verify the change matches the specification
-
-### 5. Report
+### Commit Protocol (ATOMIC PER TASK)
+After each task completion:
+1. `manual-slop_run_powershell` with `git add .`
+2. `git commit -m "feat(scope): description"`
+3. DO NOT batch commits across tasks
 
 Return a concise summary: