Content
47%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill has a well-structured four-phase debugging workflow with good escalation logic and feedback loops, but is severely undermined by excessive verbosity. The same core principle is repeated in numerous forms (iron law, red flags, rationalizations table, human partner signals), and much of the content is motivational rather than instructional. Trimming redundant sections and making the remaining guidance more concrete would significantly improve this skill.
Suggestions
Cut content by ~50%: merge 'Red Flags,' 'Common Rationalizations,' and 'Human Partner Signals' into a single short checklist — they all say the same thing (stop guessing, return to Phase 1).
Remove the 'When to Use' don't-skip-when and excuse/reality sections entirely — Claude doesn't need motivational arguments about why process matters.
Make Phases 2-3 more actionable with concrete examples: show a specific diff comparison technique, a hypothesis template with actual filled-in example, or a minimal test change pattern rather than abstract checklists.
Move the rationalizations table and real-world impact statistics to a separate supporting file to reduce the main skill's token footprint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~250+ lines. Extensive sections on rationalizations, red flags, 'human partner signals,' and motivational content ('systematic is faster than thrashing') are things Claude already knows or doesn't need repeated multiple times. The same core message (don't fix without investigating) is restated in at least 6 different ways. The 'When to Use' section with 'Don't skip when' and 'Common Rationalizations' table are largely redundant with each other. | 1 / 3 |
Actionability | The four-phase process provides a reasonable framework with some concrete examples (the bash diagnostic instrumentation example is good), but most guidance is procedural advice rather than executable commands or code. Phases 2-4 are largely abstract checklists ('Find working examples,' 'Form single hypothesis') rather than concrete, copy-paste-ready techniques. The one code example is domain-specific (macOS codesign) rather than generalizable. | 2 / 3 |
Workflow Clarity | The four-phase workflow is clearly sequenced with explicit gates between phases ('MUST complete each phase before proceeding'). Phase 4 includes a well-designed feedback loop (if fix doesn't work, return to Phase 1; if 3+ fixes fail, escalate to architectural review). Validation checkpoints are present throughout, and the escalation path at 3+ failed fixes is a strong error-recovery mechanism. | 3 / 3 |
Progressive Disclosure | References to supporting files (root-cause-tracing.md, defense-in-depth.md, condition-based-waiting.md) and related skills (kit:tdd, kit:verify) are clearly signaled. However, the main SKILL.md itself is monolithic with substantial content that could be split out (the rationalizations table, red flags section, and real-world impact section add bulk without being core workflow). No bundle files were provided to verify referenced paths exist. | 2 / 3 |
Total | 8 / 12 Passed |