Execute quality gates on git changes to verify test coverage and architecture.
npx skills add https://github.com/Amirault/DevGate --skill review-amirault
Please help me install this Agent Skill. Skill: review Source: https://github.com/Amirault/DevGate/tree/main/.agents/skills/review Command: npx skills add https://github.com/Amirault/DevGate --skill review-amirault
This Skill solves the problem of inconsistent code quality and incomplete verification before human review by enforcing a rigorous, impact-aware validation process.
Run the review skill to validate that your current git changes meet all acceptance criteria and architectural standards.
High-intent search queries and answers about installing and using this skill.
Automated quality gates validate code quality by executing test coverage verification and architecture boundary checks against your current git changes. This process traces the blast radius of modifications to identify ripple-effect gaps in downstream consumers before requesting human review.
Impact-aware analysis traces the blast radius of git changes to identify ripple-effect gaps in downstream consumers. It ensures modifications do not introduce untested regressions across system boundaries by automatically verifying that all affected components meet specific acceptance criteria.
Yes, this automated code review requires a bash environment with git, jq, and grep installed. These dependencies are necessary to parse changes, query data structures, and execute the quality assurance scripts that verify build status and test coverage against your repository.
Automated quality gates enforce architectural boundaries by assessing build status and detecting ripple-effects across system boundaries. This validates that current git changes align with required architectural standards and spec requirements before implementation readiness is approved.
Automated quality gates are limited to verifying technical requirements like build status, test coverage, and impact-aware analysis across system boundaries. They serve to validate implementation readiness rather than replace human sign-off, ensuring changes are safe and tested before manual review.
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