Fix RuboCop cop deviations to achieve full corpus conformance.
npx skills add https://github.com/6/nitrocop --skill fix-department
Please help me install this Agent Skill. Skill: fix-department Source: https://github.com/6/nitrocop/tree/main/.agents/skills/fix-department Command: npx skills add https://github.com/6/nitrocop --skill fix-department
This skill drives a RuboCop gem's cops toward full corpus conformance by triaging, planning, and executing targeted fixes while ensuring changes are tested and documented, reducing false positives and false negatives across the corpus.
Run the fix-department skill for a chosen gem to begin triage, planning, and fixes in a dedicated worktree.
High-intent search queries and answers about installing and using this skill.
To fix RuboCop false positives and false negatives across a corpus, you can triage cop deviations using a scoring system, apply per-cop fixes in a dedicated worktree, and run batch verification to prevent regressions.
Achieving 100% corpus conformance for a RuboCop gem requires phased assessment, per-cop fixes, and batch verification, working through triage and planning while enforcing unit tests and documentation updates.
Prioritize RuboCop cop fixes by generating a scoreboard that ranks cops based on impact and risk, allowing you to address the most significant deviations first while keeping changes small and test-driven.
You can fix RuboCop cop deviations without regressions by using guardrails that enforce unit tests, corpus checks, and scoped changes, providing explicit revert guidance if batch verification fails.
Fixing RuboCop cops requires updating documentation as part of the workflow, ensuring that changes to reduce false positives and false negatives are properly recorded alongside the enforced unit tests.
6Triage, investigate, and fix corpus false positives in nitrocop.
6Identify and fix divergent RuboCop cops using isolated git worktrees.
DanomanicEnforce red-green-refactor cycles with failing tests before implementation.
John2143Automate triage of GitHub Pull Request review comments by filtering false positives.
