Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A thorough, actionable skill body with strong workflow sequencing and concrete tool usage. Its main weaknesses are length/redundancy and a monolithic structure with no progressive disclosure to external reference files.
Suggestions
De-duplicate the search_structures_by_protein_name example (shown in both Phase 1.1 and 2.1) and consider removing the Tool Reference tables since the same calls appear inline in code.
Split the large report template, Quality Assessment Tiers, and Tool Reference into separate reference files (e.g. REPORT_TEMPLATE.md, TOOL_REFERENCE.md) linked one level deep from SKILL.md to improve progressive disclosure.
Tighten the report template by trimming optional sections or marking them conditional, reducing token load while preserving the completeness checklist.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient actionable reference material, but ~415 lines with redundancy: search_structures_by_protein_name appears in both Phase 1.1 and 2.1, and the Tool Reference tables duplicate tool calls already shown in code; the large report template could be tightened. | 2 / 3 |
Actionability | Provides concrete, executable Python using real tool calls (e.g. get_protein_metadata_by_pdb_id, pdbe_get_binding_sites) plus a copy-paste resolution filter: 'high_res = [entry for entry in result["data"] if entry.get("resolution") and entry["resolution"] < 2.5]'. | 3 / 3 |
Workflow Clarity | Clear phased sequence (0-3) with explicit checkpoints (Identity Resolution Checklist, Completeness Checklist), fallback-chain tables, and an error-handling table that includes retry guidance ('Retry once, provide alternative link'). | 3 / 3 |
Progressive Disclosure | Well-organized into sections but monolithic (>50 lines, no references/scripts/assets bundle files) with large inline blocks (report template, quality tiers, tool reference) that could be split into one-level-deep reference files. | 2 / 3 |
Total | 10 / 12 Passed |