Content
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is comprehensive in scope but severely over-engineered for a SKILL.md file. It reads more like a product specification document than actionable instructions for Claude, with extensive inline examples, tables, and output formats that bloat the token budget without proportional value. The referenced bundle files don't exist, meaning all the content that should be progressively disclosed is crammed into the main file, and the actual executable guidance (tool commands, grep patterns, file operations) is described abstractly rather than concretely.
Suggestions
Reduce the SKILL.md to ~100 lines: keep the operating modes, adaptation table, and constraints as brief summaries, and move the full output format examples, detection heuristics, and scoring guidelines into the referenced bundle files (which should actually be created).
Replace prose descriptions of detection logic with actual executable tool invocations Claude would use (e.g., specific grep/glob commands with exact flags and patterns, not pseudocode workflows).
Add validation checkpoints to each mode's workflow — e.g., 'Verify at least 3 signal matches before classifying as high confidence' or 'Confirm stack detection before proceeding to pattern search'.
Remove explanations of well-known concepts (what GoF patterns are, what code smells are, how React Context works) and trust Claude's existing knowledge — focus only on the specific heuristics and decision rules unique to this skill.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~400+ lines. Extensively explains concepts Claude already knows (GoF patterns, code smells, what a switch statement is, how React Context works). The massive inline JSON/Markdown output examples consume enormous token budget and could be in reference files. The adaptation table, scoring guidelines, and detection heuristics are all things Claude can derive from brief instructions. | 1 / 3 |
Actionability | Provides concrete output format examples and CLI invocation patterns, but the actual detection/suggestion logic is described in pseudocode and prose rather than executable code. The grep patterns and heuristics are partially concrete but not fully executable. The skill describes what to do conceptually but lacks actual runnable scripts or tool invocations Claude would use. | 2 / 3 |
Workflow Clarity | Each mode has a numbered workflow sequence, but validation/verification steps are missing. There are no checkpoints for confirming detection accuracy, no feedback loops for when pattern detection yields false positives, and no error recovery steps. The workflows read more like high-level phase descriptions than actionable step-by-step processes with validation gates. | 2 / 3 |
Progressive Disclosure | References 8 external files (reference/, signatures/, checklists/) which suggests good intent for progressive disclosure, but none of these bundle files actually exist. The SKILL.md itself is monolithic — the massive output examples, adaptation tables, detection heuristics, and scoring guidelines are all inline when they should be in the referenced files. The structure is present but the actual content distribution is poor. | 2 / 3 |
Total | 7 / 12 Passed |