Content
82%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 skill body is lean, actionable, and well-sequenced with executable commands and clear success/failure branching. Minor gaps in explicit validation checkpoints and reference signaling keep it just short of the top anchor.
Suggestions
Add an explicit validation checkpoint after the build (e.g. confirm plist files were produced before parsing) to strengthen the feedback loop.
Signal referenced files more clearly with named links (e.g. 'See [static_analysis.py](scripts/static_analysis.py)') rather than bare command paths.
Briefly note how the --db / z3agent.db logging integrates so the regression-tracking step is fully self-contained.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficiently structured with Action/Expectation/Result blocks and minimal over-explanation; only minor phrasing (e.g. restated expectations) could be trimmed. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready commands with concrete flags (--build-dir, --output-dir, --timeout) and a complete parameters table covering the common cases. | 5 / 5 |
Workflow Clarity | The three-step sequence is clear with explicit success/failure branches and example output, but validation is somewhat implicit (rely on scan-build completion) rather than an explicit checkpoint that verifies parsed findings before logging. | 4 / 5 |
Progressive Disclosure | Well-organized sections with a single real referenced script (scripts/static_analysis.py) and shared/z3db.py at one level deep; structure is clean though the references are bare paths in code blocks rather than explicitly signaled navigation links. | 4 / 5 |
Total | 17 / 20 Passed |