Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body contains valuable domain-specific content and concrete examples, but it is padded with generic templated boilerplate, references script and reference files that do not exist in the bundle, and documents CLI flags inconsistently with its parameter table. Tightening the boilerplate and aligning the file references with the actual bundle would substantially improve quality.
Suggestions
Remove or condense the generic templated sections (When to Use, Implementation Details, Input Validation, Response Template, Output Requirements) that restate the description or teach concepts Claude already knows.
Reconcile the References and Scripts listings with the actual bundle: point to the real references/abstract-templates.md, references/evaluation-rubric.md, and references/example-abstracts/ files, and only document scripts/main.py.
Make code examples executable by removing imports of non-existent modules (scripts.summarizer, scripts.batch) or by adding those modules, and align the documented CLI flags with the Parameters table.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body mixes genuine domain content (Core Capabilities, Quality Checklist, Common Pitfalls) with large tracts of generic templated boilerplate ('When to Use', 'Implementation Details', 'Input Validation', 'Response Template', 'Output Requirements') that restate the description and teach concepts Claude already knows. It is not a 3 because of this padding and duplication, and not a 1 because substantial actionable content is still present. | 2 / 3 |
Actionability | It provides concrete code examples and CLI commands, but the Python examples import modules that do not exist in the bundle (e.g., 'from scripts.summarizer import AbstractSummarizer', 'from scripts.batch import BatchProcessor') and the CLI examples use a '--field' flag absent from the Parameters table. It is not a 3 because the examples are not reliably copy-paste executable, and not a 1 because concrete, specific guidance is clearly provided. | 2 / 3 |
Workflow Clarity | A 'Workflow' section and validation checkpoints exist (py_compile Quick Check, pre/during/post Quality Checklist), but the main Workflow steps are generic boilerplate ('Confirm the user objective', 'Validate that the request matches the documented scope') rather than a task-specific extract-structure-verify sequence, and accuracy verification is exposed as a function rather than an explicit validate-fix-retry loop. It is not a 3 because checkpoints are implicit and the workflow is not domain-specific, and not a 1 because steps and some validation are present. | 2 / 3 |
Progressive Disclosure | The body has clear section structure and a real references/ directory, but its 'References' and 'Scripts' sections list files that do not exist in the bundle (e.g., quantitative_checklist.md, disciplinary_guidelines.md, summarizer.py, batch_processor.py) and misname real ones (abstract_templates.md vs the actual abstract-templates.md). It is not a 3 because navigation is broken by incorrect file names, and not a 1 because the content is sectioned and references are only one level deep rather than deeply nested. | 2 / 3 |
Total | 8 / 12 Passed |