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verification-loop

Automate multi-stage pre-merge code quality validation for JavaScript, TypeScript, and Python projects.

2|Updated Apr 7, 2026
Search Tags:#quality gates#test coverage#security scan#code verification#build validation#pre-pr checks
One-click install
npx skills add https://github.com/Zenobia000/ai-brainstorming --skill verification-loop-zenobia000
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: verification-loop
Source: https://github.com/Zenobia000/ai-brainstorming/tree/main/.claude/custom-rule%26skill/skills/verification-loop
Command: npx skills add https://github.com/Zenobia000/ai-brainstorming --skill verification-loop-zenobia000

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of merging broken, insecure, or low-quality code by enforcing consistent, multi-stage quality checks before pull request submission, reducing post-merge bugs and reviewer back-and-forth.

Core Features & Use Cases

  • 6-Stage Verification Pipeline: Runs sequential checks for build success, type correctness, lint compliance, test coverage, secret exposure, and unintended code changes.
  • Standardized Reporting: Generates a clear pass/fail report for each check with an overall readiness verdict for PR submission.
  • Use Case: A developer who just finished refactoring a core module can use this Skill to confirm their code builds without errors, passes all existing tests, and has no leaked API keys before opening a pull request, cutting down on review cycles.

Quick Start

Use the verification-loop skill to run a full quality check on your latest code changes and get a list of any issues that need to be fixed before you create a pull request.

Frequently Asked Questions about verification-loop

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

FAQPage Schema
How do I run pre-PR checks to catch code issues before merging pull requests?▼

Pre-PR checks catch code issues before merging by running a 6-stage verification pipeline that validates build success, type correctness, lint compliance, test coverage, secret exposure, and unintended changes.

What is the best way to validate JavaScript and TypeScript code before a pull request?▼

Validating JavaScript and TypeScript code before a pull request requires sequential checks for build success, type correctness, lint compliance, and test coverage to ensure merge readiness and reduce post-merge bugs.

Does the verification pipeline support Python projects for build validation and type correctness?▼

Yes, the verification pipeline supports Python projects alongside JavaScript and TypeScript, applying multi-stage build validation and type correctness checks to enforce quality gates before code submission.

How do I automate secret detection and test coverage checks before submitting code?▼

Automate secret detection and test coverage checks by running multi-stage pre-merge validation that scans for exposed API keys and verifies test coverage thresholds, generating a pass/fail readiness report.

Can I get a standardized pass/fail report for lint compliance and build success after refactoring?▼

Yes, you can get a standardized pass/fail report for lint compliance and build success after refactoring, which provides an overall readiness verdict to confirm your code is safe for pull request submission.

Why should I use an automated quality gate for post-feature development instead of manual code review?▼

Automated quality gates for post-feature development eliminate the risk of merging insecure code by enforcing consistent validation, reducing reviewer back-and-forth, and catching broken builds before pull request submission.

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