Content
27%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is heavily padded with generic boilerplate template content that adds no value specific to molecular review generation. The core domain-specific content (workflow process, quality rules, inputs, environment setup) is buried among repetitive generic sections about validation, safety, and output contracts. The skill would benefit enormously from stripping all boilerplate and focusing on concrete, executable examples of PubMed-based review generation.
Suggestions
Remove all generic boilerplate sections (When to Use, When Not to Use, Required Inputs, Recommended Workflow, Output Contract, Validation and Safety Rules, Failure Handling, Deterministic Output Rules, Completion Checklist) and keep only the domain-specific content about molecular review generation.
Add a concrete, executable example showing the full command invocation with specific disease/molecule parameters (e.g., `python scripts/pubmed_api.py --disease 'breast cancer' --molecule 'tamoxifen'`) and a sample snippet of the expected output in Vancouver citation format.
Consolidate the two workflow descriptions into a single clear sequence with explicit validation checkpoints between steps (e.g., verify PubMed returned results before proceeding to review generation).
Provide the actual bundle files (pubmed_api.py, validate_skill.py, helper scripts) or at minimum document their interfaces so the skill content can reference them meaningfully rather than generically.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose and repetitive. The skill contains multiple redundant sections (e.g., 'When to Use' and 'When Not to Use' are generic boilerplate, 'Required Inputs' repeats earlier content, 'Recommended Workflow' duplicates the 'Workflow Process' and 'Example Usage' sections). Phrases like 'Scope-focused workflow aligned to:' followed by a verbatim copy of the description waste tokens. Much of the content is generic template filler that teaches Claude nothing specific about molecular review generation. | 1 / 3 |
Actionability | There are some concrete elements—environment variable setup, script paths, and a workflow process outline—but the actual execution is vague. There's no executable example showing how to invoke the skill with specific disease/molecule parameters, no sample command with arguments, and no example of what the output review looks like. The 'Example Usage' section says 'See ## Usage above' circularly, and the run plan is generic pseudocode-level guidance. | 2 / 3 |
Workflow Clarity | The 5-step workflow process (Input Translation → Search Term Generation → PubMed Search → Result Processing → Review Generation) provides a clear sequence, and there are quality rules and a completion checklist. However, there are no explicit validation checkpoints between steps, no feedback loops for error recovery during the multi-step PubMed search process, and the failure handling section is generic rather than tied to specific workflow steps. | 2 / 3 |
Progressive Disclosure | The content is a monolithic wall of text with no references to external files despite mentioning 'additional helper scripts under scripts/' and a validate_skill.py script. There are duplicate and overlapping sections (two 'When to Use' variants, two workflow descriptions, two validation sections, two input requirement sections) that could be consolidated. No bundle files are provided to support the referenced paths, and the structure is poorly organized with generic boilerplate sections interspersed with the actual skill-specific content. | 1 / 3 |
Total | 6 / 12 Passed |