Content
88%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A code-dense, highly actionable skill body with a clear sequenced workflow and explicit validation/eval gates appropriate for clinical de-id. Minor conciseness gains are available in the intro, and progressive disclosure is solid but relies entirely on inline content with no reference files.
Suggestions
Trim the intro paragraph's backend-role restatement since the 'Pick a backend' table already conveys it, saving tokens.
Consider moving the per-backend gotchas or the LLM-generation detail into a reference file to shorten SKILL.md and improve progressive disclosure.
Make the recall-gate feedback loop explicit in the Workflow (e.g., 'if recall drops below threshold, re-quantize or fall back to full precision') rather than only describing the gate.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and code/table-driven, but the intro paragraph restates backend roles already captured by the 'Pick a backend' table, and a few phrases ('the strongest privacy posture OpenMed offers') could be trimmed. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready code and CLIs across all three backends — pip install, `python -m openmed.<backend>.convert` with real flags, and Python API calls with concrete parameter values (compute_units, opset, quantize bits). | 5 / 5 |
Workflow Clarity | A numbered 5-step Workflow (Pick → Convert → Quantize → Run → Verify) with explicit validation gates: MLX `--eval-suite` recall certification, 'Verify outputs against the full-precision model before shipping', and hand-off to `evaluating-with-leakage-gates`. | 5 / 5 |
Progressive Disclosure | Well-organized with clear section headers, a comparison table, and one-level-deep pointers (external URLs and source paths like `openmed/mlx/convert.py`); no nested references, though no bundle files exist to offload detail into. | 4 / 5 |
Total | 18 / 20 Passed |