Content
76%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 admirably concise, well-sequenced debugging workflow with built-in verification steps, but several steps give direction rather than the concrete commands or code needed to execute them, and validation checkpoints are implicit rather than explicit gates.
Suggestions
Add the specific commands or code for the abstract steps, e.g. the exact 'trace' command(s) and how to 'fix the earliest incorrect layer'.
Make validation checkpoints explicit pass/fail gates (e.g. 'Only proceed to step 7 if the real-consumer output matches expectations').
Add a brief error-recovery loop for the real-consumer comparison step, noting what to do when old vs new output still diverges.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is extremely lean (~16 lines), assumes Claude's competence, and every line is an actionable instruction with no padding or explanation of concepts Claude already knows. | 5 / 5 |
Actionability | It names concrete flags and paths ('--format json --quiet', '.fallow/', 'review') and a numbered procedure, but several steps are abstract ('Trace the finding through...', 'Fix the earliest incorrect layer') without the specific commands or code to execute them. | 3 / 5 |
Workflow Clarity | A clear 7-step sequence with built-in verification (reproduce, regression test, real-consumer comparison, reviewer run), though validation checkpoints are implicit rather than explicit pass/fail gates and error-recovery loops are not spelled out. | 4 / 5 |
Progressive Disclosure | This is a short single-purpose skill with no bundle files and no need for external references; the well-organized numbered structure satisfies the simple-skill exception for a top score. | 5 / 5 |
Total | 17 / 20 Passed |