Verify code-review feedback against the codebase before applying changes.
npx skills add https://github.com/monkerek/vibe-hub --skill address-feedback
Please help me install this Agent Skill. Skill: address-feedback Source: https://github.com/monkerek/vibe-hub/tree/main/.vibe/skills/address-feedback Command: npx skills add https://github.com/monkerek/vibe-hub --skill address-feedback
This skill governs how AI agents receive and act on code review feedback. It replaces reflexive compliance ("You're absolutely right!") with a rigorous verify-then-implement workflow. Every piece of feedback is treated as a technical hypothesis to evaluate — not an order to obey.
Review and address each code-review item with evidence-based verification before applying changes.
High-intent search queries and answers about installing and using this skill.
To address code review feedback safely, you should verify every item against the actual codebase before implementation. This approach treats feedback as a technical hypothesis to evaluate rather than an order to obey, preventing performative agreement and ensuring correctness.
The verify-before-implement workflow uses a hard gate that requires validating code review feedback against the codebase using tool outputs. It ensures evidence-based verification justifies every modification before execution, replacing reflexive compliance with rigorous evaluation.
Applying code review feedback one item at a time involves validating each change with tool outputs before moving to the next. This one-item-at-a-time execution minimizes regressions and improves traceability by ensuring every modification is verified against the codebase.
AI agents often break code due to reflexive compliance, where changes are implemented solely for appearance or performative agreement. Replacing this with evidence-based verification ensures every modification is validated against the codebase to prevent regressions from unverified feedback.
Yes, evidence-based verification uses tool outputs to justify every code modification made during a code review. By verifying each feedback item against the codebase, you provide concrete evidence for decisions and avoid implementing changes based solely on appearance.
cogine-aiFetch and group GitHub pull request review comments by severity and actionability.
cxnaiveAutomate pre-commit code verification with static security analysis and regression checks.
seanGSISGProcess code-review feedback by verifying against the codebase before implementation.
aleph23Evaluate code review feedback with subagent checks and evidence-based verification gates.
