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 an exemplary lean, single-purpose skill: concrete thresholds, named state files, and an exact log schema with no wasted tokens. The only improvements are minor — clarifying how tokens_estimate is derived and flattening the nested conditionals in step 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and efficient with zero padding: every line is an instruction, threshold, or template, and no concept Claude already knows is explained. | 5 / 5 |
Actionability | Guidance is highly concrete — named files, explicit thresholds (80%/90%/100%), a specific field to sum (tokens_estimate), and a copy-paste JSON log template with enum values. Minor gaps remain: how tokens_estimate is computed and how "the active pattern" is identified from loop-budget.md. | 4 / 5 |
Workflow Clarity | The start-of-run sequence is clearly numbered with explicit conditional checkpoints at each spend threshold, plus a defined end-of-run step. It falls short of a 5 because there is no feedback/error-recovery loop and step 5's nested conditionals (yield vs. exit vs. pause flag) are dense enough to re-read. | 4 / 5 |
Progressive Disclosure | The skill is under 50 lines with well-organized sections (Start of run / End of run / Rules) and needs no external reference docs; the files it mentions (loop-budget.md, loop-run-log.md, STATE.md) are runtime state, not buried documentation. | 5 / 5 |
Total | 18 / 20 Passed |