Content
61%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.
The body is well-structured with a runnable example and appropriately split one-level-deep references, but it loses points on restated/hedged content, missing validation checkpoints for batch MS processing, and slightly thin referenced files.
Suggestions
Add an explicit validation/verification checkpoint to the workflow (e.g., confirm spectra loaded and peaks detected before declaring success) to lift workflow_clarity above the batch-operation cap of 3.
Trim the 'Implementation Details' restatement of Load->Process->Analyze and replace the hedging comment about run_workflow's return value with the actual return contract (it returns a summary dict).
Convert reference pointers into markdown links and expand references/file_io.md and references/signal_processing.md so the deferred detail is actually substantive.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with clear sections, but the 'Implementation Details' section restates the Load->Process->Analyze pattern already shown in the example, and hedging comments ('The returned object depends on the implementation...', 'exact filters... should be documented in scripts/process_ms.py') add padding that could be trimmed. | 3 / 5 |
Actionability | Provides a concrete runnable example calling run_workflow, an install command, and pointers to a real script and references, but the example hedges on its return value and defers specifics rather than being fully copy-paste ready. | 4 / 5 |
Workflow Clarity | The Load->Process->Analyze sequence is listed, but because the skill explicitly targets batch-processing of MS files, the absence of explicit validation/verification checkpoints (only a FileNotFoundError and a no-spectra warning) caps this at 3 per the batch-operation rule. | 3 / 5 |
Progressive Disclosure | SKILL.md is a concise overview that points to real one-level-deep references (references/file_io.md, references/signal_processing.md) and scripts/process_ms.py with clear signaling; minor gaps are that references are plain-text paths rather than links and the referenced files are thin. | 4 / 5 |
Total | 14 / 20 Passed |