Content
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is well-structured with clean progressive disclosure to a single reference, but its guidance is somewhat redundant across sections and lacks a concrete output template or explicit validation checkpoint. Tightening the repeated material and adding a prioritization/output format would raise actionability and workflow clarity.
Suggestions
Consolidate the redundant 'What is covered', Constraints, and Workflow sections so each point appears once, reducing token cost without losing clarity.
Add a concrete output template or example for the prioritized discovery list (e.g., a table of quality attribute, evidence source, stakeholder impact, risk) to make actionability fully concrete.
Insert an explicit validation checkpoint in the workflow, such as verifying each candidate quality attribute is backed by a cited artifact before prioritizing, to move workflow clarity from implicit to enforced.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and avoids explaining concepts Claude already knows, but the 'What is covered', Constraints, and Workflow sections restate the same points (identify, prioritize, stop before architecture), so it could be tightened; matches the score-2 anchor. | 2 / 3 |
Actionability | Concrete MUST/MUST NOT constraints give specific grounding sources and a flag-the-gap rule, but there is no output template for the discovery list and 'prioritize by stakeholder impact and risk' lacks a concrete method or scale, leaving key details missing per the score-2 anchor. | 2 / 3 |
Workflow Clarity | A clear five-step sequence is present with a flag-gap feedback mechanism, but there is no explicit validation checkpoint (e.g., verifying each candidate is backed by cited evidence), so checkpoints are implicit rather than enforced. | 2 / 3 |
Progressive Disclosure | The body is a concise overview that signals a single one-level-deep reference (references/025-quality-attribute-discovery.md, a real file) via both a MUST-read constraint and a Reference link, matching the score-3 anchor for clear overview with well-signaled one-level-deep references. | 3 / 3 |
Total | 9 / 12 Passed |