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 well-structured, actionable skill with clear workflow steps and excellent example scenarios that cover important edge cases. Its main weakness is moderate verbosity—the Notes section largely duplicates earlier rules, and the examples, while valuable, make the file quite long. The skill could benefit from extracting examples into a separate file and trimming redundant guidance.
Suggestions
Extract the three example scenarios into a separate EXAMPLES.md file and reference it from the main skill to improve progressive disclosure and reduce token usage.
Remove or consolidate the Notes section, as most points (respect user intent, conservative labeling, template timing) are already covered in Label Selection Rules and Label Classification.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some redundancy—the Notes section repeats rules already stated in Label Selection Rules and Label Classification sections. The example scenarios, while useful, are quite lengthy and could be more compact. | 2 / 3 |
Actionability | Provides concrete, executable gh CLI commands for fetching label history and labels. The process is specific with clear classification criteria (e.g., 5-second window for template labels, actor-based classification), and the examples show exact input/output states. | 3 / 3 |
Workflow Clarity | The 8-step process is clearly sequenced with explicit classification logic (template vs user vs skill labels), clear decision rules for keep/add/remove, and a structured report format that serves as a verification checkpoint. The examples demonstrate the workflow applied to edge cases. | 3 / 3 |
Progressive Disclosure | The content is a single monolithic file with no references to external files. The three detailed example scenarios could be split into a separate EXAMPLES.md to keep the main skill leaner. However, for a skill of this complexity, the inline structure is still navigable with clear section headers. | 2 / 3 |
Total | 10 / 12 Passed |