Content
86%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 highly actionable with executable examples and excellent progressive disclosure via clearly signaled reference docs. Minor conciseness redundancy (duplicated OHLCV example) and absent validation checkpoints for rate limits are the only weaknesses.
Suggestions
De-duplicate the OHLCV DataLoader snippet between Quick Start and the Historical OHLCV section, keeping one canonical example and referencing it.
Add a brief validation checkpoint for batch OHLCV fetches, e.g. 'verify each returned DataFrame is non-empty' and how to detect/retry on Yahoo rate-limit bans.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with copy-paste code and well-structured tables, but the OHLCV DataLoader example is near-duplicated between Quick Start and the Historical OHLCV section and could be trimmed. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready JSON tool calls and Python snippets cover the common cases (OHLCV via loader/tool, company info, financials, holdings, indices, FX), with concrete ticker-conversion and interval tables. | 5 / 5 |
Workflow Clarity | A clear routing workflow (get_market_data tool -> DataLoader for OHLCV -> direct yfinance for non-OHLCV; auto-mode routing) is present, but explicit validation checkpoints (e.g. detecting rate-limit bans or empty returns) are missing. | 4 / 5 |
Progressive Disclosure | A clean reference table signals six one-level-deep docs with a path convention note and an explicit 'read the one you need' directive, keeping SKILL.md as a well-organized overview with easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |