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 has excellent workflow clarity with well-defined modes, decision trees, and error handling, but suffers severely from verbosity and lack of progressive disclosure. Content is repeated across sections (iteration flow duplicates execution process, understanding template appears twice), and core logic relies on undefined pseudocode functions rather than executable implementations. The skill would benefit enormously from splitting into a concise overview SKILL.md with referenced template and schema files.
Suggestions
Extract the understanding.md template, hypotheses.json schema, NDJSON format spec, and instrumentation templates into separate bundle files referenced from the main SKILL.md to reduce size by ~60%.
Remove duplicate content: the 'Iteration Flow' section largely repeats the 'Execution Process' section, and the understanding template appears twice — keep only one instance of each.
Either implement the undefined helper functions (extractErrorKeywords, analyzeSearchResults, evaluateEvidence, removeDebugRegions) with real code, or remove them and describe the expected behavior in 1-2 lines each.
Cut explanatory text that Claude doesn't need (e.g., the Chinese comment about project root detection, the 'When to Use' section, the 'Key Features' summary table that just restates what's already in the document).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~400+ lines. Massive amounts of template code that is pseudocode/illustrative rather than executable, repeated workflow descriptions (the iteration flow section largely duplicates the execution process section), and includes explanations Claude doesn't need (e.g., what NDJSON is, basic groupBy operations). The understanding.md template appears twice in slightly different forms. | 1 / 3 |
Actionability | Provides code templates and structured formats (NDJSON schema, hypothesis JSON), but most code is pseudocode with placeholder functions like `extractErrorKeywords()`, `analyzeSearchResults()`, `evaluateEvidence()`, and `removeDebugRegions()` that are never defined. The instrumentation templates (Python/JS) are the most concrete and executable parts, but the core logic relies on undefined helper functions. | 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. The ASCII tree diagrams clearly show decision points and branching. | 3 / 3 |
Progressive Disclosure | Monolithic wall of text with no bundle files or external references. Everything is inlined into a single massive document — the understanding.md template, hypothesis JSON schema, NDJSON format, consolidation rules, instrumentation templates, and iteration flow could all be separate referenced files. The same information (workflow, templates) is repeated in multiple sections. | 1 / 3 |
Total | 7 / 12 Passed |