Content
39%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill defines a thorough hypothesis-driven debugging workflow with clear sequencing and good error handling, but is severely undermined by its verbosity and monolithic structure. The same flow is described three times in different formats, templates are shown redundantly, and much of the code uses undefined helper functions making it illustrative rather than executable. At its current length (~400+ lines), it desperately needs to be split into multiple files with the SKILL.md serving as a concise overview.
Suggestions
Reduce the document to ~100-150 lines by eliminating redundant flow descriptions (keep only the ASCII tree version), removing the duplicate understanding.md template, and consolidating the session folder structure into a single mention.
Split instrumentation templates, understanding.md template, and hypotheses.json schema into separate bundle files referenced from the main SKILL.md.
Replace pseudocode stubs (extractErrorKeywords, analyzeSearchResults, evaluateEvidence, removeDebugRegions) with either actual implementations or remove them entirely and describe the expected behavior in prose — the current approach gives a false sense of executability.
Remove the Chinese text in Step 0 (or translate it) for consistency, and eliminate explanatory commentary that Claude doesn't need (e.g., explaining what NDJSON is, what each JSON field means when the field names are self-evident).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~400+ lines. Massive amounts of template code, repeated flow diagrams (the iteration flow is shown three times in different formats), redundant sections (session folder structure repeated, understanding template shown twice), and explanations of concepts Claude already knows. The consolidation rules section includes good/bad examples that are helpful but the overall document is heavily padded. | 1 / 3 |
Actionability | Provides concrete templates for logging instrumentation (Python/JS) and file structures, but much of the code is pseudocode with undefined functions (extractErrorKeywords, analyzeSearchResults, evaluateEvidence, removeDebugRegions, groupBy). The hypothesis generation function returns a stub. The code is illustrative rather than executable. | 2 / 3 |
Workflow Clarity | The multi-step workflow is clearly sequenced with explicit mode detection (explore/analyze/continue), validation checkpoints (hypothesis evaluation, verification after fix), feedback loops (fix doesn't work → iterate, all rejected → new hypotheses, >5 iterations → escalate), and an error handling table covering edge cases. | 3 / 3 |
Progressive Disclosure | Monolithic wall of text with no references to external files despite the content being long enough to warrant splitting. Everything is inline — templates, examples, error handling, consolidation rules, format specifications. No bundle files are provided, and the content would benefit enormously from splitting instrumentation templates, understanding.md templates, and reference tables into separate files. | 1 / 3 |
Total | 7 / 12 Passed |