Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, highly actionable data-source skill with clear interface routing and clean progressive disclosure through six one-level-deep references. The only meaningful weakness is duplication between Quick Start and the Historical OHLCV section.
Suggestions
De-duplicate the Quick Start and §1 Historical OHLCV sections — keep one canonical get_market_data + loader example and cross-reference it instead of repeating both blocks.
Trim the opening "yfinance is an open-source Python wrapper…" sentence, which restates a concept Claude already knows, to tighten conciseness toward 3.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with lean code blocks, but the Quick Start and §1 Historical OHLCV duplicate the same get_market_data JSON and DataLoader snippet, and the opening line restates what yfinance is; tightening the redundancy would reach 3. | 2 / 3 |
Actionability | Throughout the body are complete, copy-paste-ready executable snippets (loader calls, yf.Ticker usage, ticker-conversion rules, config.json examples) with concrete parameters rather than pseudocode. | 3 / 3 |
Workflow Clarity | A clear decision path is laid out — prefer get_market_data for OHLCV, fall back to the DataLoader for scripts, use raw yfinance only for non-OHLCV data — and the reference table maps each interface to its use; the skill is read-only so no destructive-validation checkpoint is required. | 3 / 3 |
Progressive Disclosure | The body is a concise overview that points to six one-level-deep reference docs via a well-signaled table using the skill-name prefix, with an explicit path-convention note — easy navigation, no deep nesting. | 3 / 3 |
Total | 11 / 12 Passed |