Content
87%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is action-oriented, concise, and well-structured with proper progressive disclosure to a verified reference file. The main gap is the absence of explicit validation/feedback checkpoints for batch and file-writing operations.
Suggestions
Add an explicit validation step after historical CSV export or settings edits (e.g. verify the output file exists and is non-empty, or reload settings to confirm), with a fix-and-retry path, to reach the top workflow_clarity anchor.
Surface a brief 'verify' command (such as re-running price_tracker to confirm a saved watchlist or config change took effect) so destructive/batch changes have a feedback loop.
Consider noting what to check when the cache-fallback path triggers so the workflow has a checkpoint for degraded operation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and command-driven — no padding explaining what crypto or APIs are — and inline comments (e.g. 'Top 10 by market cap', '2024 full year') each earn their place. | 3 / 3 |
Actionability | Every instruction is a fully executable, copy-paste-ready command (e.g. 'python ${CLAUDE_SKILL_DIR}/scripts/price_tracker.py --symbol BTC --period 90d --output csv') with concrete flags and example outputs. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and an error-handling table exists, but batch/write operations like historical CSV export and settings edits lack explicit validation checkpoints or a validate→fix→retry feedback loop, capping the score at 2. | 2 / 3 |
Progressive Disclosure | A concise overview points one level deep to a real, well-signaled bundle file (references/implementation.md) with a Resources section listing reference paths and external links, matching the top anchor. | 3 / 3 |
Total | 11 / 12 Passed |