Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is admirably lean and well-organized for a simple single-purpose skill, but its guidance stays at the principle level without concrete executable examples or a clear inspection sequence, limiting actionability and workflow clarity.
Suggestions
Add a concrete inspection example, e.g. a jq one-liner to sum token counts by model from the exported JSONL file.
Turn the principles into a short ordered sequence (locate export file → inspect records → summarize by model/step → diagnose malformed records).
Fix the 'Summarizing token counts...' fragment to imperative voice ('Summarize token counts...') to match the other bullets.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is ~14 lines with no padding and no explanation of concepts Claude already knows; every line carries actionable guidance, matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | Guidance is directional ('Prefer local JSONL inspection', 'Summarize token counts by model, agent step, and request type') but provides no concrete commands or query examples (e.g. jq snippets) to make it copy-paste ready, fitting the 'some concrete guidance but incomplete; missing key details' anchor. | 2 / 3 |
Workflow Clarity | The bullets are guiding principles rather than a sequenced workflow, and one ('Do not require Android/product validation') is a policy directive; while the single task is fairly clear, the lack of an explicit inspection sequence leaves it at the 'steps present but checkpoints missing/implicit' level. | 2 / 3 |
Progressive Disclosure | Under 50 lines with no need for external references, and content is organized into a clear 'Guidance' section; per the simple-skills guideline this earns a 3 with well-organized sections alone. | 3 / 3 |
Total | 10 / 12 Passed |