Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A concise, highly actionable skill body with executable examples, an explicit validation checkpoint, and a useful anti-patterns checklist. One minor note: the 'Example — summary, by model, last 7 days' header promises a 7-day window, but the script reports today/yesterday/total/by-model without any 7-day filter — the heading should be corrected to match the code.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: it does not explain what JSONL or tokens are, and every section earns its place — notably the non-obvious cumulative-snapshot gotcha ('summing every row multiply-counts') and the 'prefer estimated_cost_usd' guidance, both of which Claude would not already know. | 3 / 3 |
Actionability | It provides fully executable, copy-paste-ready `node -e` commands for both the log-existence check and a complete summary-by-model report, plus a documented row schema, matching the score-3 anchor. | 3 / 3 |
Workflow Clarity | An explicit validation checkpoint ('First verify the log exists') with a runnable command, an explicit error path ('If the log is missing, do not fabricate usage data'), and an Anti-Patterns checklist give a clear sequence with error recovery; the operation is read-only so the destructive/batch feedback-loop cap does not apply. | 3 / 3 |
Progressive Disclosure | The skill is self-contained with no bundle files needed and is organized into clearly-headed sections (Where the data lives, When to Use, How It Works, Example, Reporting Guidance, Anti-Patterns, Related) with no nested references, which per the guideline scores 3 for a skill with no need for external references. | 3 / 3 |
Total | 12 / 12 Passed |