Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, domain-specific security review skill that encodes real vulnerability patterns from Sentry's history into a structured, actionable workflow. Its greatest strengths are the concrete code patterns, the rigorous multi-layer enforcement tracing, and the calibrated confidence system that prevents false positives. The main weakness is that the referenced bundle files are missing, making it impossible to verify the progressive disclosure structure, and the main file could be slightly more concise by pushing detailed check content into those references.
Suggestions
Provide the referenced bundle files (endpoint-patterns.md, serializer-patterns.md, enforcement-layers.md, etc.) so the progressive disclosure structure actually functions and detailed check patterns can be offloaded from the main SKILL.md.
Consider moving the detailed descriptions of Checks 1-6 into their respective reference files, keeping only a summary table with red-flag signatures in the main SKILL.md to improve conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient and domain-specific, avoiding generic OWASP theory as promised. However, some sections are slightly verbose — e.g., the confidence table and some check descriptions could be tightened. The repeated emphasis on 'do not report LOW' appears multiple times in slightly different forms. | 2 / 3 |
Actionability | Highly actionable with concrete trace flows, specific red-flag code patterns (e.g., `Model.objects.get(id=request.data["something_id"])` without org scope), safe pattern examples, a 7-layer enforcement checklist, and a complete output template with fix code requirements. The guidance is specific to Sentry's codebase and directly executable. | 3 / 3 |
Workflow Clarity | The 4-step workflow is clearly sequenced (Classify → Check → Trace → Report) with explicit validation checkpoints. Step 3 is a thorough verification/feedback loop requiring tracing through all 7 enforcement layers before confirming a finding. The confidence downgrade from HIGH to MEDIUM when unable to fully confirm acts as a built-in safety checkpoint. | 3 / 3 |
Progressive Disclosure | The skill references 5 specific reference files (e.g., `references/endpoint-patterns.md`, `references/enforcement-layers.md`) with clear navigation tables, which is excellent structure. However, no bundle files were provided, so these references cannot be verified. The main SKILL.md itself is fairly long (~200 lines) and some of the detailed check content (especially Checks 1-6) could potentially be split into the referenced files to keep the overview leaner. | 2 / 3 |
Total | 10 / 12 Passed |