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 efficient, well-sequenced debugging workflow with concrete commands and built-in validation. Its main weakness is that a couple of steps stay at the hint level and the error-recovery feedback loop is implicit rather than explicit.
Suggestions
Make the feedback loop explicit, e.g. after step 5 add 'If the regression test still passes without the fix, the reduction is incomplete — return to step 2.'
Add a concrete pointer for the high-level steps, e.g. name the command or subtool used to 'Reduce to a minimal fixture' and to 'Fix the earliest incorrect layer'.
Clarify what 'review with the affected surface reviewers' invokes (the exact command or surface list) so step 7 is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — seven terse numbered steps plus one guardrail sentence, with no concept explanation or padding, matching the score-5 'every token earns its place' anchor. | 5 / 5 |
Actionability | Most steps give executable specifics ('--format json --quiet', cleared '.fallow/ cache', 'review' with surface reviewers), but steps like 'Fix the earliest incorrect layer' and 'Reduce to a minimal fixture' remain high-level hints, leaving minor gaps short of copy-paste readiness. | 4 / 5 |
Workflow Clarity | The seven steps are clearly sequenced and include validation checkpoints (regression test in step 5, old-vs-new comparison in step 6), but the error-recovery feedback loop is only implicit rather than spelled out as a validate-fix-retry cycle, keeping it just below a 5. | 4 / 5 |
Progressive Disclosure | This is a simple, single-purpose skill under 50 lines with no need for external references; the single well-organized section with a numbered list satisfies the rubric's simple-skill exception allowing a 5. | 5 / 5 |
Total | 18 / 20 Passed |