---
docType: review
layer: project
reviewType: tasks
slice: pipeline-definitions-and-loader
project: squadron
verdict: PASS
sourceDocument: project-documents/user/tasks/148-tasks.pipeline-definitions-and-loader.md
aiModel: minimax/minimax-m2.7
status: complete
dateCreated: 20260402
dateUpdated: 20260402
---

# Review: tasks — slice 148

**Verdict:** PASS
**Model:** minimax/minimax-m2.7

## Findings

### [PASS] All success criteria have corresponding tasks

Cross-referencing the slice design's success criteria against the task breakdown:

| Success Criterion | Task(s) |
|---|---|
| Pydantic schema validates well-formed YAML, rejects malformed | T1 (schema.py), T2 (tests) |
| Loader discovers pipelines with correct precedence | T5 (load_pipeline), T7 (discover_pipelines), T6/T8 (tests) |
| Four built-in pipelines load and validate | T3 (YAML files), T11 (integration tests) |
| `load_pipeline("slice-lifecycle")` returns correct definition | T5, T6 |
| `discover_pipelines()` returns all pipelines with source attribution | T7, T8 |
| Semantic validation catches unknown step types, invalid models, missing templates, undeclared params | T9, T10 |
| Step shorthand expansion (`devlog: auto` → `{mode: auto}`) | T1 (model_validator), T2 (test_shorthand_expansion) |
| Project directory overrides built-in | T6 (test_project_overrides_builtin) |
| Pydantic v2 API used | T1 |
| Schema converts to PipelineDefinition/StepConfig | T1 (to_definition), T2 (test_to_definition) |
| Optional user_dir/project_dir params for testability | T5, T7 function signatures |

### [PASS] No scope creep detected

The task file contains no tasks that trace outside the slice design scope. The `ParamSchema` class mentioned in the slice architecture section is correctly implemented as `dict[str, str]` (matching the YAML grammar `param_name: "required" | default_value`) rather than as a separate class. The "sq run --validate" CLI entry point is correctly attributed to slice 151 in the slice design's Excluded section.

### [PASS] Task sequencing is correct

- T1 (schema) → T2 (schema tests) ✓
- T3 (built-in YAMLs) after T1/T2 ✓
- T4 (checkpoint) after T1–T3 ✓
- T5 (loader core) → T6 (loader tests) ✓
- T7 (discovery) → T8 (discovery tests) ✓
- T9 (validate_pipeline) → T10 (validation tests) ✓
- T11 (integration tests) after T10 ✓
- T12 (checkpoint) after T9–T11 ✓
- T13 (closeout) final ✓

No circular dependencies; each task has clear prerequisites within the sequence.

### [PASS] Task granularity is appropriate

- T1 is appropriately sized: three Pydantic v2 models with a custom `model_validator` and `to_definition()` method
- T2, T6, T8, T10 each have 7–9 targeted test cases
- T11 combines all four built-in pipelines in a parameterized integration test
- Checkpoint tasks (T4, T12, T13) are correctly separate from implementation

### [PASS] Test-with pattern is followed throughout

Every implementation task has a corresponding test task immediately following: T1→T2, T5→T6, T7→T8, T9→T10. T11 is an integration test that exercises the full stack after all unit tests are complete.

### [PASS] Commit checkpoints are distributed throughout

- T4: schema + built-in YAMLs
- T12: loader + validator
- T13: final closeout (test suite confirmation, documentation, CHANGELOG, marking slice complete)

### [PASS] Tasks are independently completable by a junior AI

Each task has explicit success criteria specifying pass conditions (`pyright 0 errors`, `ruff check clean`, `pytest -v` all pass, specific assertion counts). No task requires implicit knowledge not stated in its description.
