Content
50%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.
The body is a well-organized, reasonably lean overview that correctly avoids teaching Claude things it already knows. However, it is a brochure rather than an operational skill: it names scripts that don't exist and provides no invocation examples, input schemas, or worked calculations, leaving Claude with nothing executable. Fixing the script references and adding concrete usage examples is the highest-leverage improvement.
Suggestions
Ship the referenced scripts (scripts/calculate_ratios.py, scripts/interpret_ratios.py) or remove the Scripts section — currently both references point to non-existent files.
Add an executable example, e.g. 'python scripts/calculate_ratios.py --statements financials.json --ratios all' with sample output, so the skill is copy-paste runnable.
Replace the vague Input Format bullets with a concrete example payload (one JSON or CSV snippet showing expected line items) so calculations can start without guesswork.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely a lean catalog of capabilities, input/output formats, and examples with no explanation of concepts Claude already knows (it never explains what ROE or P/E means). Minor trimmable padding exists: the opening sentence restates the frontmatter description, and the 'Limitations' bullets ('Requires accurate financial data', 'Historical data doesn't guarantee future performance') are common knowledge. This fits 'efficient; minor instances of over-explanation' rather than 3, since the padding is incidental, not pervasive. | 4 / 5 |
Actionability | The body describes rather than instructs: it names two scripts ('calculate_ratios.py: Main calculation engine', 'interpret_ratios.py: Provides interpretation and benchmarking') but never shows how to invoke them, and gives no concrete input schemas, commands, or worked examples. It sits above score 1 because it does enumerate concrete ratio names and accepted input formats (CSV, JSON, Excel), but below 3-4 because there is no executable or step-specific guidance anywhere — a user could not run anything from this document. | 2 / 5 |
Workflow Clarity | 'How to Use' lists a coherent three-step sequence (input data, select ratios, get interpretation) with a validation nod buried in Best Practices ('Always validate data completeness before calculations'), but no explicit checkpoints or commands in the workflow itself. This matches 'steps listed but validation gaps; checkpoints missing or implicit'; it is not 2 because the sequence is coherent and purposeful, and this read-only calculation task triggers no destructive/batch cap. | 3 / 5 |
Progressive Disclosure | The body is well-sectioned with clear headers, but the two referenced script files (calculate_ratios.py, interpret_ratios.py) do not exist — the working directory contains no scripts/, references/, or assets/ directories, so these are dangling references. Per the guideline to score against the actual bundle structure, 'some structure but references present yet problematic' fits 3; it is not 4 because broken references are more than a minor organization gap, and not 2 because the inlined content itself is appropriately scoped, not bloated. | 3 / 5 |
Total | 12 / 20 Passed |