Content
68%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 well-structured, actionable skill body that pulls data via concrete yfinance code and lays out a clear five-section briefing template. Its main weakness is workflow_clarity: it lacks explicit validation/error-recovery checkpoints within the main flow despite the fragile nature of external data fetching.
Suggestions
Add an explicit validation checkpoint after Step 2's data fetch (e.g., check each attribute is non-None/non-empty and surface a clear error or fallback if a source is missing) rather than deferring error handling to the reference file.
Make the Step 2 fetch code self-contained by deriving the ticker from the user's request instead of leaving the placeholder 'ticker = yf.Ticker("AAPL") # replace with actual ticker'.
Tighten the Step 4 caveats list and sample tables, which restate data the reference file already covers, to improve token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Efficient body that mostly assumes Claude's competence and lets tables and code carry the load, with minor trimmable padding such as the multi-bullet caveats list and the sample-table illustration. | 4 / 5 |
Actionability | Provides executable install/fetch code and a concrete output template with five labeled sections, but the data-fetch script uses a placeholder ticker ('replace with actual ticker') and the output sections are described rather than given as runnable code. | 4 / 5 |
Workflow Clarity | A clear four-step sequence is present, but there are no explicit validation checkpoints or error-recovery loops; the body relies on the reference file's try/except note rather than embedding a checkpoint in the workflow itself. | 3 / 5 |
Progressive Disclosure | Good one-level-deep structure: SKILL.md is an overview and clearly signals a single reference file (references/api_reference.md), which exists and holds the bulk API detail, with only minor organization gaps. | 4 / 5 |
Total | 15 / 20 Passed |