verification-loop

Run a deterministic verification pipeline for TypeScript, Python, Go, and Rust changes.

Updated Mar 28, 2026
One-click install
npx skills add https://github.com/akirschke15-cmd/Cato-Registry --skill verification-loop-akirschke15-cmd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verification-loop
Source: https://github.com/akirschke15-cmd/Cato-Registry/tree/main/.claude/skills/verification-loop
Command: npx skills add https://github.com/akirschke15-cmd/Cato-Registry --skill verification-loop-akirschke15-cmd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prevents broken, insecure, or non-conforming code from reaching production by enforcing a consistent multi-phase validation workflow for every change.

Core Features & Use Cases

  • Build verification: Confirms the code compiles and bundles correctly to catch missing imports and broken references early.
  • Type safety enforcement: Ensures type checks pass across the codebase to avoid runtime surprises from type drift.
  • Lint quality gates: Detects style issues, dead code, unsafe patterns, and common security-related lint findings.
  • Test and coverage validation: Runs unit/integration tests, flags coverage regressions, and surfaces flaky failures.
  • Security checks: Identifies dependency vulnerabilities and common sources of risk (e.g., insecure patterns, hardcoded secrets).
  • Diff review discipline: Verifies the change set matches intent and catches accidental/unreviewed modifications.

Quick Start

Use the verification loop to validate a feature branch after you implement it, before you commit and open 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 code verification checks before merging a pull request?

Code verification before merging a pull request is handled by running a deterministic pipeline that validates build, type, lint, test coverage, and security audits. This enforces production readiness requirements across TypeScript, Python, Go, and Rust workflows.

What is the best way to automate security auditing and linting in CI/CD pipelines?

Automating security auditing and linting in CI/CD pipelines requires a multi-phase validation workflow that identifies dependency vulnerabilities and detects unsafe patterns. This approach prevents broken or insecure code from reaching production during deployment gating.

Does this code verification pipeline support Python and Go workflows?

Yes, this code verification pipeline supports Python and Go workflows, alongside TypeScript, Node.js, and Rust. It applies deterministic validation phases including type checking, lint quality gates, and test coverage validation to ensure production readiness.

How do I prevent test coverage regressions and type drift in local development?

Preventing test coverage regressions and type drift in local development involves running a validation workflow that enforces type safety and flags coverage drops. This catches accidental modifications and runtime surprises before you commit changes.

Can I gate deployments using build verification and diff review discipline?

Yes, you can gate deployments using build verification and diff review discipline to ensure code changes meet production readiness requirements. This multi-phase validation catches missing imports, broken references, and unreviewed modifications before allowing merges.

What are the limitations of running a deterministic verification pipeline locally?

Running a deterministic verification pipeline locally focuses on build, type, lint, test, and security checks but requires compatible TypeScript, Python, Go, or Rust environments. It serves as a pre-commit validation step rather than replacing comprehensive peer code review.