How does the reporting format work?

The skill provides a structured JSON report including a compliance boolean and a detailed list of issues with specific file and line-number locations.

What kind of issues does this skill identify?

It categorizes issues into specification mismatches, plan deviations, code quality concerns, testing deficiencies, security vulnerabilities, and performance bottlenecks.

What is the main benefit of the Implementation Progress Reviewer?

It prevents 'implementation drift' by ensuring code stays strictly aligned with the original technical specifications and plan throughout the development lifecycle.

Does it check for testing quality?

Yes, it specifically looks for testing deficiencies where tests might only cover 'happy paths' or rely too heavily on mocked behavior without verifying actual logic.

Can this be used during automated workflows?

Yes, it is specifically designed to be used as a checkpoint between task batches in executing-plans or subagent-driven development workflows.

Implementation Progress Reviewer

Name: Implementation Progress Reviewer
Author: bacchus-labs

bybacchus-labs

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Collaboration Tools

Audits in-progress code against technical specifications to ensure implementation stays aligned with project plans and quality standards.

About

This skill functions as an automated Principal Engineer, offering critical mid-implementation checkpoints to ensure development remains strictly aligned with technical specifications. By analyzing git diffs against task baselines, it identifies discrepancies in requirements, code quality issues, and testing deficiencies before they accumulate into technical debt. It generates a structured, machine-readable JSON compliance report, making it an essential tool for maintaining high standards and catching implementation drift during complex, multi-step feature development.

Key Features

Automated compliance auditing against feature specifications
Structured JSON reporting with categorized issue identification
3 GitHub stars
Integration-ready checkpoints for subagent-driven development
Git-diff analysis between task baselines and current work
Deep evaluation of test quality and edge-case coverage

Use Cases

Verifying that unit tests cover actual logic rather than just mocked behavior
Catching implementation drift before completing complex architectural changes
Performing quality gate checks halfway through a large feature implementation

About

Key Features

Automated compliance auditing against feature specifications
Structured JSON reporting with categorized issue identification
3 GitHub stars
Integration-ready checkpoints for subagent-driven development
Git-diff analysis between task baselines and current work
Deep evaluation of test quality and edge-case coverage

Use Cases

Verifying that unit tests cover actual logic rather than just mocked behavior
Catching implementation drift before completing complex architectural changes
Performing quality gate checks halfway through a large feature implementation