Verify code changes against plan requirements and quality criteria.
npx skills add https://github.com/Ard2p/sk-bar-site --skill aif-verify-ard2p
Please help me install this Agent Skill. Skill: aif-verify Source: https://github.com/Ard2p/sk-bar-site/tree/main/.cursor/skills/aif-verify Command: npx skills add https://github.com/Ard2p/sk-bar-site --skill aif-verify-ard2p
Verify completed implementation against the plan, ensuring code correctness, plan fidelity, and production-readiness across tasks, builds, tests, and governance.
Run /aif-verify after /aif-implement completes to validate your work.
High-intent search queries and answers about installing and using this skill.
To verify code changes against plan requirements, you can automate post-implementation quality checks that compare completed tasks against plan artifacts, architecture rules, and acceptance criteria. This ensures code correctness and plan fidelity across builds and tests.
Configuration drift detection identifies deviations between implemented code and the intended architecture or roadmap. It assesses dependency integrity and configuration rules to ensure production-readiness and compliance with governance standards.
You can check if your build and lint tests meet quality criteria by running an automated assessment across tasks, tests, and dependencies. This validates integrity and produces a structured verification report with actionable remediation steps.
Yes, you can validate completed tasks automatically by comparing implemented code against plan artifacts and defined acceptance criteria. This ensures the implementation matches the plan and meets all required governance rules.
The best way to generate a remediation report for failed tests is to assess build, lint, and test integrity against plan artifacts, producing a structured verification report that provides actionable remediation steps for any identified issues.
Your code implementation drifts from the planned architecture when changes do not align with established rules and roadmap artifacts. Automated quality checks can detect this drift and provide actionable remediation to restore compliance.
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