aif-verify

Audit completed software implementations against original project plans for missing or non-compliant work.

Updated May 16, 2026
One-click install
npx skills add https://github.com/vulikjulik/DeepLom --skill aif-verify-vulikjulik
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aif-verify
Source: https://github.com/vulikjulik/DeepLom/tree/main/.opencode/skills/aif-verify
Command: npx skills add https://github.com/vulikjulik/DeepLom --skill aif-verify-vulikjulik

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

After implementing a feature from a predefined plan, it is easy to miss small requirements, break project rules, or leave incomplete work that causes issues later. This skill eliminates the need for manual, time-consuming checks to confirm your implementation is complete and compliant.

Core Features & Use Cases

  • Task Completion Audit: Automatically checks every task in your implementation plan to confirm it is fully implemented, flags partial or missing work, and reports exactly what is missing.
  • Quality Validation: Runs build, test, and lint checks to catch compile errors, failing tests, and code style issues before you merge changes.
  • Compliance Checks: Validates your code against project architecture boundaries, custom rules, and roadmap alignment to avoid violations that would block merges.
  • Use Case: A developer finishes building a new document workflow feature using the /aif-implement skill, then runs aif-verify to confirm all planned tasks are complete, tests pass, and no project rules were broken before opening a pull request.

Quick Start

Use the aif-verify skill to check that your recently completed feature implementation matches the original plan, passes all build and test checks, and complies with project rules.

Frequently Asked Questions about aif-verify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify implementation against a project plan to catch missing tasks?

Verifying implementation against a project plan requires an automated audit that checks task coverage, flags partial or missing work, and reports exactly what is required to satisfy post-implementation quality gates.

What is post-implementation review for feature development workflows?

Post-implementation review is an automated quality gate that audits completed software implementation against the original project plan to identify missing, partial, or non-compliant work before merging changes.

How do I run build validation and lint checks after completing a feature?

Running build validation and lint checks after completing a feature requires an automated quality validation step that catches compile errors, failing tests, and code style issues to confirm implementation compliance.

Can I check code compliance against project architecture boundaries and custom rules?

Yes, you can check code compliance against project architecture boundaries and custom rules by validating your code to avoid violations that would block merges and ensure alignment with roadmap constraints.

Does task tracking verification detect project artifact drift?

Yes, task tracking verification detects project artifact drift by automatically auditing completed software implementation against the original project plan to identify missing, partial, or non-compliant work.