> Baseline assessment. Strong architecture and documentation (9.0 each), solid test suite (240/240 pass), held back by lint debt (89 violations) and type errors (49 mypy strict). Clear path to B+ with low-effort fixes.
| 5 | Documentation | 10% | 9.0 | 9.0 | 91% docstring coverage. Comprehensive README with Mermaid diagrams. STATUS.md. No generated API reference. |
| 6 | Complexity | 10% | 7.0 | 7.0 | Median 133 (healthy). 6 files >300. `mme.py` at 693/80 complexity is the outlier -- justified as a format parser. |
| 7 | Security | 10% | 8.5 | 8.5 | Single eval with `{"__builtins__": {}}` + blocklist. No subprocess, no secrets. AST-based eval would eliminate residual risk. |
| 8 | Maintainability | 10% | 8.5 | 8.5 | Zero debt markers. Zero bare excepts. Consistent logging. Modern tooling (uv, hatchling, ruff, mypy). |
| 5 | Add `__all__` to `io`, `plugin`, `report`, `script`, `template` | 30 min | +0.5 arch | Architecture |
**Projected score after all 5 actions: ~83 (B+)**
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## Notes
- **Architecture score is qualitative.** Import graph was inspected: no layer violations found (data layer does not import from web/plot). The `web` module correctly sits at the top of the dependency tree.
- **Complexity scoring for `mme.py`** was lenient because format parsers inherently have high branch density. If it grows beyond ~800 lines, consider extracting sub-parsers.
- **The eval in `math_expr.py`** is sandboxed (empty `__builtins__`, token blocklist for `import`, `exec`, `eval`, `subprocess`, `os`, `sys`, `__`). An AST-based evaluator would be safer but is lower priority given the blocklist approach.
- **Test:source ratio of 0.26** is common for alpha-stage projects with stable computation modules. The ratio should improve as edge-case tests are added. Protocol and criteria modules are the highest-value targets for additional test coverage.
- **Unused imports (F401)** account for 69% of all lint violations. These are likely remnants from refactoring and are trivially fixable.