review

Validate software implementations against acceptance plans and tests, producing a PASS/FAIL report.

Updated Feb 2, 2026
One-click install
npx skills add https://github.com/raultorres2603/ComplAI --skill review-raultorres2603
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/raultorres2603/ComplAI/tree/main/.opencode/skills/review
Command: npx skills add https://github.com/raultorres2603/ComplAI --skill review-raultorres2603

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validate that implementations meet a predefined plan, pass all tests, and adhere to project conventions, by producing a structured PASS/FAIL report.

Core Features & Use Cases

  • Load the acceptance plan from session memory and extract every criterion as a review checklist.
  • Inspect changed source files, execute the project's test suite, perform a code-quality assessment, and generate a formal validation report.
  • Use case: during final QA sign-off or code audits to produce a conclusive verdict on implementation readiness.

Quick Start

Load the acceptance plan in session memory and run the review to generate a PASS/FAIL report.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate validation of software implementations against an acceptance plan?

Automating implementation validation involves loading a predefined acceptance plan from session memory, extracting criteria into a checklist, inspecting changed files, and running tests. This process produces a structured PASS/FAIL report without modifying source code, ensuring conformance during QA cycles.

What is a structured PASS/FAIL report in QA acceptance testing?

A structured PASS/FAIL report in acceptance testing is a formal validation document generated by inspecting changed source files and executing test suites against predefined criteria. It provides a conclusive verdict on implementation readiness for final QA sign-off or code audits.

How do I run a code quality audit without modifying the source code?

Running a code quality audit without modifying source code requires inspecting changed files and executing the test suite in a read-only capacity. The system evaluates project conventions and test results to generate a formal validation report, ensuring conformance without altering the implementation.

Do I need to load an acceptance plan into session memory before running a review?

Yes, loading an acceptance plan into session memory is required before running a review. The validation process reads the plan to extract every acceptance criterion as a review checklist, which is then used to evaluate changed files and test results for the final report.

Can I use automated validation for final QA sign-off across different projects?

Yes, automated validation can be used for final QA sign-off across different projects. It applies during implementation reviews and code quality audits by evaluating changed files and running the test suite against the acceptance plan to ensure project conformance.

What's the best way to generate a conclusive verdict on implementation readiness?

The best way to generate a conclusive verdict on implementation readiness is to automate validation against a predefined acceptance plan. By inspecting changed source files and running the project's test suite, the system outputs a formal PASS/FAIL report for QA sign-off.