Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable with a clear 4-phase workflow and concrete tool guidance, but it is weighed down by lengthy conceptual domain-reasoning sections that restate known concepts and act as a monolithic block with broken external file references.
Suggestions
Move the multimeric-assembly, coiled-coil, and detergent-effect domain-reasoning sections into a separate reference file (or trim to actionable LOOK-UP guidance only) to reduce tokens on concepts Claude already knows.
Either provide the referenced python_implementation.py and KNOWN_ISSUES.md as bundle files or remove the dangling references so navigation is not broken.
Add a brief validation checkpoint after identifier mapping (e.g., confirm STRING IDs resolved before retrieving the network) to make the workflow's error-recovery explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core workflow and tool tables are lean and information-dense, but extended conceptual sections on multimer valency/statistical factors, coiled-coil heptad prediction, detergent effects, and avidity/Hill/Scatchard plots restate domain knowledge Claude largely already knows and exceed the skill's core PPI-analysis scope. | 2 / 3 |
Actionability | Provides concrete tool names with specific parameters ('STRING_map_identifiers()', 'confidence_score=0.7', 'taxId=9606', 'uniprot_id'), a real executable snippet ('interaction_ids = result.get("metadata", {}).get("interaction_ids", [])'), and copy-paste troubleshooting commands. | 3 / 3 |
Workflow Clarity | A clearly sequenced 4-phase workflow (Identifier Mapping → Network Retrieval → Enrichment → Structural Data) with numbered phases, parameter guidance, and a troubleshooting section covering failure modes; operations are non-destructive so missing hard validation checkpoints is acceptable. | 3 / 3 |
Progressive Disclosure | Sections are well-organized, but the body is a monolithic ~160-line single file with no actual bundle structure, and it references 'python_implementation.py' and 'KNOWN_ISSUES.md' that do not exist in the bundle; extended domain-reasoning content that could be split out remains inline. | 2 / 3 |
Total | 10 / 12 Passed |