Content
92%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.
A high-quality, actionable review skill: concrete named patterns and fixes, a well-gated reporting workflow, and clean progressive disclosure through a reference table. The only slack is a brief motivational intro that adds tokens without aiding execution.
Suggestions
Trim or relocate the production-issue statistics in the opening paragraph ('638 real production issues... 27 million error events... 65,000+ affected users') — they establish credibility but do not help Claude perform the review.
The per-check issue/event counts (e.g. '113 issues, 3,035,640 events') earn their place as prioritization signal, but consider condensing to a single priority order note if token budget is tight.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and efficient — it assumes Claude knows Django/ORM/Snuba and stays on concrete red flags and safe patterns — but the opening marketing paragraph ('638 real production issues... 27 million error events... 65,000+ affected users') does not help Claude perform the review and could be trimmed. | 4 / 5 |
Actionability | Fully actionable throughout: named APIs and copy-ready snippets (Model.objects.get(id=some_id), min(value, 2_147_483_647), request.META.get(...), dict.copy() before iteration) cover the common cases. | 5 / 5 |
Workflow Clarity | Clear three-step sequence with confidence-gated reporting (HIGH/MEDIUM only), explicit per-confidence criteria, 'Not a bug — do not flag' false-positive guards, and a 'stop and report zero findings' termination checkpoint. | 5 / 5 |
Progressive Disclosure | Clear overview with a classification table mapping code types to eight real one-level-deep reference files (all verified present), making navigation easy and keeping detail out of the body. | 5 / 5 |
Total | 19 / 20 Passed |