check-your-work

Name: check-your-work
Availability: InStock
Author: enbyaugust

Run six parallel quality-assurance agents to detect bugs, security issues, and code-quality problems.

30|3|Updated Jan 23, 2026

Search Tags:#automation #reporting #code-review #bug-detection #quality-checks #parallel-processing #severity-validation

Ready to run

npx skills add https://github.com/enbyaugust/zacs-claude-skills --skill check-your-work

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: check-your-work
Source: https://github.com/enbyaugust/zacs-claude-skills/tree/main/skills/check-your-work
Command: npx skills add https://github.com/enbyaugust/zacs-claude-skills --skill check-your-work

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill coordinates six specialized quality-assurance agents to concurrently detect bugs, security issues, and quality gaps in code changes, reducing review time and increasing confidence before merge.

Core Features & Use Cases

Parallel Quality Analysis: Launch six agents in parallel to inspect duplication, user expectations, bug detection, security, performance, and correctness.
Severity-Driven Workflow: Classify findings by P0–P3 and perform staged validation and remediation planning.
Consolidated Reporting: Produce a unified findings report that helps engineers triage issues and decide next steps.

Quick Start

Run the check-your-work skill to run automated, parallel quality checks on your recent commits and generate a consolidated report.

Frequently Asked Questions about check-your-work

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

FAQPage Schema

How do I run parallel quality checks for code review?▼

Parallel quality checks are orchestrated by launching six concurrent agents to inspect duplication, security, performance, and correctness, producing a consolidated findings report to guide remediation.

What is severity classification in automated bug detection?▼

Severity classification in bug detection categorizes findings into P0, P1, P2, and P3 levels, enabling staged validation and structured remediation planning based on issue criticality.

Can I automate post-implementation quality checks across multiple projects?▼

Yes, automated post-implementation checks can be applied across projects of varying sizes, running multi-angle analysis during feature integration and post-implementation phases to speed up code reviews.

Does parallel agent execution work for large codebase security analysis?▼

Parallel agent execution supports large codebase security analysis by concurrently running six specialized agents to detect security issues and quality gaps, reducing review time before merge.

What's the best way to consolidate bug detection and code review findings?▼

The best way to consolidate code review findings is using a unified reporting mechanism that aggregates results from parallel quality-assurance agents, helping engineers triage issues and decide next steps.

When do I need automated multi-angle analysis for feature integration?▼

Automated multi-angle analysis is needed during feature integration and post-implementation checks when you require concurrent inspection of correctness, performance, and security to increase confidence before merge.