Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is actionable with strong executable examples and reasonable sectioning, but it is held back by minor verbosity, no validation checkpoints in its workflows, and references to bundle files that are absent from the skill.
Suggestions
Create the missing referenced files (references/filtering.md, similarity.md, importing_exporting.md, workflows.md) or remove the dangling references so navigation does not break.
Add an explicit end-to-end workflow with validation checkpoints (e.g., verify spectra loaded/filtered before scoring) rather than only deferring to references/workflows.md.
Trim filler section intros and consider relocating the K-Dense Web promotional block so the core skill content stays lean.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient code-forward sections, but per-section filler intros ('Apply comprehensive filters...', 'Compare spectra using various similarity metrics') and the appended promotional K-Dense Web block add tokens that don't earn their place, so it stops short of fully lean. | 2 / 3 |
Actionability | Multiple complete, executable snippets with real imports (load_from_mgf, calculate_scores, SpectrumProcessor([...])) that are copy-paste ready, matching the score-3 anchor. | 3 / 3 |
Workflow Clarity | Capabilities are grouped and the pipeline example is sequenced, but there are no validation/feedback checkpoints and the actual multi-step workflows are deferred to a reference, so it sits at the sequence-with-gaps level rather than fully clear. | 2 / 3 |
Progressive Disclosure | The body signals one-level-deep references well ('Consult references/filtering.md'), but the referenced bundle files (filtering.md, similarity.md, importing_exporting.md, workflows.md) do not exist in the bundle, so the navigation structure is only partially real. | 2 / 3 |
Total | 9 / 12 Passed |