Content
100%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured, actionable review workflow with concrete bug patterns, explicit validation gates, and clean one-level-deep reference navigation. It earns top marks on every dimension with no concept padding or vagueness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense with red flags, safe patterns, issue counts, and false-positive exclusions; it assumes Claude's competence and never explains concepts Claude already knows (no "Django is a framework" padding). | 3 / 3 |
Actionability | Concrete, copy-paste-style guidance throughout — `Model.objects.get(id=some_id)` without try/except, `request.META.get("HTTP_X_GITLAB_TOKEN")` with None check, `min(value, 2_147_483_647)` caps — plus an explicit rule that fixes must include actual code. | 3 / 3 |
Workflow Clarity | Clear three-step sequence (classify → check patterns → report) with explicit checkpoints: a confidence table filtering to HIGH/MEDIUM, report-once dedup rule, and a zero-findings validation gate ("If no checks produced a potential finding, stop and report zero findings"). | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview with a code-type → reference-file classification table pointing to one-level-deep, real reference files (all 8 paths verified to exist); detailed real-examples/root-cause/checklists are split into references/ while top patterns stay inline. | 3 / 3 |
Total | 12 / 12 Passed |