code-review-gate
The Code Review Gate performs architect-level reviews of code changes, enforcing four core principles: DRY (eliminating unnecessary duplication), YAGNI (avoiding speculative features), proper abstraction (correct encapsulation), and test coverage (adequate automated tests). It provides numeric quality scores with specific file and line feedback, integrating into development workflows to ensure code quality before merging.
git clone --depth 1 https://github.com/a5c-ai/babysitter /tmp/code-review-gate && cp -r /tmp/code-review-gate/library/methodologies/automaker/skills/code-review-gate ~/.claude/skills/code-review-gateSKILL.md
# Code Review Gate Perform code review with quality scoring and configurable threshold enforcement. ## Agent Code Reviewer - `automaker-code-reviewer` ## Workflow 1. Review all changed files for correctness 2. Check for security vulnerabilities 3. Identify performance issues 4. Verify test coverage adequacy 5. Check code style consistency 6. Detect dead code and debug artifacts 7. Verify no secrets in code 8. Assign quality score (0-100) 9. Make approve/reject decision 10. Enforce quality threshold gate ## Inputs - `projectName` - Project name - `featureId` - Feature identifier - `branch` - Feature branch name - `changedFiles` - Files to review - `reviewPolicy` - Policy: 'auto', 'manual', 'hybrid' - `qualityThreshold` - Minimum score (0-100) ## Outputs - Review with approval, score, comments, security issues, quality gate pass/fail ## Process Files - `automaker-orchestrator.js` - Phase 4 - `automaker-review-ship.js` - Stages 1-2
Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
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This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.