Content
76%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 concise, information-dense skill body with strong actionable tool guidance and well-structured sections. Its main weaknesses are the absence of explicit validation/feedback loops in the batch workflows and a lack of any runnable code example.
Suggestions
Add explicit validation checkpoints to each workflow (e.g., after retrieving structures, verify resolution/coverage thresholds are met before proceeding; add a validate-fix-retry loop) to lift workflow_clarity above the batch-operation cap of 3.
Include at least one small executable Python example showing the intended ToolUniverse-retrieve-then-analyze pattern (e.g., fetching PDB entries with pandas/scipy) to make the 'COMPUTE, DON'T DESCRIBE' directive concrete.
Consider extracting the large Tool Inventory into a references/ file referenced from the body, to improve progressive_disclosure and keep SKILL.md as a tighter overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and dense throughout: tight tool inventory with inline parameters, compact phase-based workflows, and no padding or explanation of concepts Claude already knows; every section earns its place. | 5 / 5 |
Actionability | Highly actionable with concrete tool names, parameters, a gotchas table, specific artifact-filter lists (GOL, EDO, SO4...) and thresholds (DoGSiteScorer >0.6), but provides no actual runnable Python/code example despite instructing Claude to 'write and run Python code'. | 4 / 5 |
Workflow Clarity | Three clearly sequenced multi-phase workflows with decision rules exist, but there are no explicit validation/verification checkpoints or validate-fix-retry feedback loops for batch/data operations, which caps this dimension. | 3 / 5 |
Progressive Disclosure | Well-organized single file with clear section headers (tool inventory, workflows, gotchas, evidence grading) and no external bundle files; structure is good though all content is inlined monolithically rather than split across references. | 4 / 5 |
Total | 16 / 20 Passed |