Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise, actionable, and well-organized for a simple read-only review skill, with a concrete code example and a clear output template. The main gap is workflow_clarity: the review sequence lacks any explicit validation/checkpoint step to confirm findings before reporting.
Suggestions
Add a validation checkpoint to the workflow, e.g. an 8th step: 'Re-verify each finding against the actual line to confirm it is real before reporting', lifting workflow_clarity to a 3.
Include a one-line guardrail on severity assignment (e.g., how to decide CRITICAL vs WARNING vs SUGGESTION) so findings are consistently categorized.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | A lean ~45-line body with a numbered instruction list, a compact output template, and one example; it explains nothing Claude already knows, matching the score-3 'every token earns its place' anchor. | 3 / 3 |
Actionability | Provides an explicit 7-step checklist, a concrete output-format template, and a copy-paste-ready before/after Python example for SQL injection, matching the score-3 'fully executable; copy-paste ready' anchor. | 3 / 3 |
Workflow Clarity | The 7-step review sequence is clearly ordered, but there are no validation checkpoints (e.g., 're-verify each finding references a real line') or feedback loops, matching the score-2 'sequence present but checkpoints missing or implicit' anchor rather than score-3's explicit-validation requirement. | 2 / 3 |
Progressive Disclosure | A single well-organized file under 50 lines with clear sections (Instructions, Output Format, Example Finding) and no bundle files, matching the simple-skill allowance for a score-3 progressive_disclosure. | 3 / 3 |
Total | 11 / 12 Passed |