Content
80%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 lean, well-structured, domain-specific skill body that earns its tokens by stating tool behaviors Claude cannot infer. Its main gap is the absence of validation checkpoints around the batch-generation step, which caps workflow clarity despite an otherwise crisp sequence and output contract.
Suggestions
Add an explicit validation step after batch generation (e.g. verify batch_structures.json parses, confirm the structure count against the site list and the truncation flag) before declaring the batch ready.
Include one or two concrete example invocations of enumerate_adsorption_sites / place_adsorbate / generate_batch_adsorption_structures showing the argument shapes, to close the remaining actionability gap.
Tighten the 'Method-critical defaults' section into concrete rules (what exactly to carry forward and how) instead of conditional phrasing like 'preserve metadata and reference-state traceability needed for downstream consistent energy evaluation'.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes domain competence — terms like 'selective dynamics', 'ASF', and 'ontop/bridge/hollow' are used without explanation, and every line states a tool-specific fact Claude cannot infer (e.g. 'The tool preserves slab selective dynamics and marks newly added adsorbate atoms as movable'). | 5 / 5 |
Actionability | Concrete, executable-in-intent guidance throughout — 'site=auto prefers the first available ontop, then bridge, then hollow', 'supports either slab_file or slab_dir, not both', 'max_structures is a real cap', and named outputs ('batch_structures.json plus ads_indices.json under output_dir'). Falls short of 5 only because no example tool invocations or argument shapes are shown, but it exceeds 3 since the guidance is specific rather than pseudocode. | 4 / 5 |
Workflow Clarity | The sequence is clear (Quick Start steps 1-4, Workflow sections 1-3, then an Output Contract), but this is a batch-operation skill and generate_batch_adsorption_structures has no validation or verification checkpoint — nothing checks the generated batch output or confirms truncation handling before downstream use, capping the score at 3 per the batch-operations rule. | 3 / 5 |
Progressive Disclosure | No bundle files exist (references/, scripts/, assets/ are all absent), and the body is under 50 lines with clean section structure (Overview, Quick Start, Suggested tools, Workflow, Method-critical defaults, Output Contract, References) — the simple-skill case where well-organized sections alone earn a 5. | 5 / 5 |
Total | 17 / 20 Passed |