Content
78%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a strong, well-structured review workflow with executable lint commands, a precise report template, and properly progressive references to real bundle files. Its main weakness is conciseness: the six inlined agent checklists duplicate content from the reference checklist and inflate the token budget, and subagent launch mechanics stay abstract rather than runnable.
Suggestions
Trim the six inlined agent-mission checklists to a short scope statement plus a pointer to the corresponding section in references/qt-review-checklist.md, to reduce duplication and token cost (conciseness).
Add concrete, copy-paste ready commands or a minimal example for launching the six parallel subagents (e.g. a Task/Agent invocation snippet), so the deep-analysis phase is as actionable as the lint phase (actionability).
Add an explicit validate/retry checkpoint after Phase 2 (e.g. re-run lint or re-check findings flagged as investigation targets) to round out the workflow's feedback loops (workflow_clarity).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely efficient and assumes Claude's competence (terse bullet checklists, no 'what is Qt' padding), but the six inlined agent-mission checklists total several hundred lines that overlap heavily with references/qt-review-checklist.md, which could be trimmed to keep the overview lean. | 4 / 5 |
Actionability | Provides concrete executable commands (python3 references/lint-scripts/qt_review_lint.py, git diff variants) and a precise output template, but the agent missions describe what to check rather than giving copy-paste ready invocation commands for launching each agent, leaving a minor gap. | 4 / 5 |
Workflow Clarity | Three phases are explicitly sequenced ('Never skip a phase') with confidence thresholds and a consolidation/dedup step, plus a fallback if Python is absent; however the only validation checkpoint is Phase 1 lint output feeding Phase 2, and there is no explicit validate-then-retry loop for the deep-analysis agents, leaving a minor checkpoint gap. | 4 / 5 |
Progressive Disclosure | The SKILL.md is a well-signaled overview with one-level-deep references (qt-review-checklist.md, qt-framework-checklist.md, qt-deprecated-classes.md, lint-scripts/qt_review_lint.py), all of which exist as real bundle files, and a clear References section mapping each path to its purpose, matching the score-5 anchor. | 5 / 5 |
Total | 17 / 20 Passed |