Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable skill with clear workflow sequencing and a well-defined output schema. Its main weakness is moderate verbosity—some sections are redundant (scope declaration vs assumptions) and a few rules contradict the stated assumption that golangci-lint has already run. The monolithic structure works but could benefit from splitting detailed rule catalogs into reference files.
Suggestions
Remove rules that overlap with golangci-lint (gofmt compliance, unused variables/imports) since the skill explicitly states those have already been enforced, or clarify why they're re-checked.
Remove or condense the 'Language Scope' section—Claude doesn't need to be told to ignore Python rules when validating Go code.
Consider extracting the detailed HARD/SHOULD/WARN rule catalogs into a separate RULES.md reference file to improve progressive disclosure and reduce the main file's token footprint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly well-structured but includes some redundancy. The 'Scope Declaration' and 'Assumptions' sections overlap (both mention golangci-lint handles formatting). The 'Language Scope' section explaining to ignore other languages is unnecessary padding. Some rules restate what golangci-lint already catches (e.g., gofmt compliance, unused variables) despite claiming to focus on what static tooling misses. | 2 / 3 |
Actionability | Highly actionable: provides executable bash commands for input gathering, a precise JSON output schema, clearly categorized rules with concrete examples (e.g., user.GetName() → user.Name()), and explicit pass/fail criteria. The three-tier severity system (HARD/SHOULD/WARN) with clear enforcement semantics makes this copy-paste ready. | 3 / 3 |
Workflow Clarity | The workflow is clearly sequenced: gather changed files (with fallback order), read files, evaluate rules in listed order, categorize findings by severity, produce structured JSON output. The input section has explicit fallback steps. The pass/fail logic is unambiguous. The anti-pattern propagation section addresses a common edge case. The batch processing note for >50 files adds a validation checkpoint. | 3 / 3 |
Progressive Disclosure | The content is a single monolithic file at ~200 lines. The rules sections (HARD, SHOULD, WARN) are well-organized with clear headers, but the detailed rule lists could benefit from being split into separate reference files. No bundle files are provided, so there's no progressive disclosure structure. However, the content is well-sectioned internally with clear navigation via headers. | 2 / 3 |
Total | 10 / 12 Passed |