evaluate-findings
SolidCritically assess external feedback (code reviews, AI reviewers, PR comments) and decide which suggestions to apply using adversarial verification. Use when the user asks to "evaluate findings", "assess review comments", "triage review feedback", "evaluate review output", or "filter false positives".
Install
Quality Score: 89/100
Skill Content
Details
- Author
- tobihagemann
- Repository
- tobihagemann/turbo
- Created
- 3 months ago
- Last Updated
- 6 days ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
apply-findings
Apply findings by making the suggested code changes. Applies accepted verdicts, escalates ambiguous findings to the user, and offers to note skipped genuine improvements. Use when the user asks to "apply findings", "apply fixes", "apply suggestions", "apply accepted findings", "fix the findings", or "apply the review results".
assess-findings
Triage static analysis findings, assess merit, and accept noise or irrelevant items
principle-code-review
Code review heuristics — four-axis review lens (correctness, security, design integrity, test coverage); confidence-based filtering (no finding without a concrete failure scenario); review comment tone (observation over accusation); nitpick filtering; what counts as a real finding vs linter noise. Auto-load when writing or framing a review comment, deciding whether a PR finding is worth surfacing, reviewing a diff for correctness, or filtering review nitpicks.