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.
The body is well-structured and actionable, pairing concrete Python code with specific MCP tool guidance and a useful decision table. Its main weaknesses are a redundant MCP patterns section and the absence of validation steps around batch downloads and destructive cache clearing.
Suggestions
Add verification steps around risky operations: show checking dm.get_cache_info() before and after dm.clear_cache(), and verifying download_symbols results (e.g., row counts per symbol) so batch and destructive operations have explicit checkpoints.
Merge the "MCP Server Patterns" section into the "Available MCP Tools" list (e.g., annotate each tool with a one-line usage example) to remove the repetition with the "Example MCP Usage" block.
Include a brief error-handling or troubleshooting pattern (e.g., what to do when get_candles returns empty or download_symbols fails for a symbol) to make the common cases fully copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean with no over-explanation of concepts Claude already knows (no definition of OHLCV, caching, or timeframes), but the "MCP Server Patterns" section substantially repeats the "Available MCP Tools" list and "Example MCP Usage" block and could be merged, placing it between mostly-efficient and fully-efficient. | 4 / 5 |
Actionability | Python examples are concrete and executable against wicktrade.core.data_manager (get_candles, download_symbols, get_cache_info, clear_cache, and a gap-detection loop), and MCP guidance names specific tools. Minor gaps: MCP argument details are only shown once, and there is no error-handling guidance, so it stops short of fully copy-paste-ready coverage of common cases. | 4 / 5 |
Workflow Clarity | This is a reference/patterns skill without a sequenced workflow, but it documents batch operations (download_symbols over a symbol list) and a destructive operation (dm.clear_cache() with no arguments, commented "All cached data") with no validation or verification steps such as checking get_cache_info() before/after clearing or verifying download results. Per the rubric, a batch/destructive skill without validation is capped at 3; the gap-detection snippet is a pattern, not a checkpoint, so it does not lift the score above the cap and it is clearly above the poorly-defined-sequence anchors below. | 3 / 5 |
Progressive Disclosure | A single-file skill with well-organized sections, descriptive headers, and scannable tables for timeframes and method selection, with no bundle files to reference. It exceeds the under-50-lines simple-skill case, and the timeframe table and MCP tool inventory could arguably move to a reference file, so it matches good structure with minor organization gaps rather than the ideal split. | 4 / 5 |
Total | 15 / 20 Passed |