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 high-quality, expert-level skill body: executable commands and a runnable synthetic example, a clearly sequenced workflow with genuine validation checkpoints, and a well-signaled one-level-deep reference bundle. The residual weaknesses are minor — inline version/date commentary that could live in a pinned-command-only form or a separate section, and detailed NMRPipe ingestion contracts that could move to the validation reference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and expert-level with essentially no padding — it encodes non-obvious constraints (sign conventions, failure-instead-of-clipping behavior, quantitative-NMR limits) Claude could not infer. However, it carries time-sensitive version/date commentary ("Tested with Python 3.12, nmrglue 0.12, NumPy 2.5.3, and SciPy 1.18.1", "identified itself as 0.9-dev when checked") that duplicates the pinned uv command and is not placed in an old-patterns/deprecated section, plus a few hedging sentences that could be trimmed. This fits 'efficient; minor instances of over-explanation that could be trimmed'. | 4 / 5 |
Actionability | Fully executable guidance: a copy-paste `uv run` command with pinned package versions, a complete runnable Python snippet that generates the synthetic FID, and a concrete settings file (assets/processing.json) to copy and edit. Deliverables (spectrum.csv, report.json) are specified, matching the anchor for copy-paste ready commands covering the common cases. | 5 / 5 |
Workflow Clarity | The six-step workflow is clearly sequenced with explicit validation checkpoints and feedback loops: "Validate with a known reference peak" (step 2), "inspect the real and imaginary spectra, and revise manual phase if needed" (step 4), "Inspect residuals and broad peaks" (step 5), and "Compare peak positions with references" (step 6), plus hard-fail behavior ("a mismatch fails instead of silently recalibrating"). This matches the top anchor with explicit validation and error-recovery loops. | 5 / 5 |
Progressive Disclosure | The bundle structure is real and well-used: references/acquisition-and-validation.md, scripts/process_1d.py, and assets/processing.json all exist, and the reference link is well-signaled with its purpose ("for conversion boundaries, axis calibration, and quantitative limits") at one level deep. The minor gap is that dense NMRPipe header-contract detail ("FDF2TDSIZE must equal the stored complex-point count, and FDF2CENTER / FDF2ORIG must describe a canonical centered axis") is inlined in SKILL.md rather than the validation reference, fitting 'good structure; most content appropriately placed; minor organization gaps'. | 4 / 5 |
Total | 18 / 20 Passed |