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djnsty23
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verify

Delegate deep code verification to the review workflow.

2|Updated Jan 12, 2026
Search Tags:#automation#quality-assurance#verify#code-review#software-engineering#depth-levels
One-click install
npx skills add https://github.com/djnsty23/claude-auto-dev --skill verify-djnsty23
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: verify
Source: https://github.com/djnsty23/claude-auto-dev/tree/main/skills/verify
Command: npx skills add https://github.com/djnsty23/claude-auto-dev --skill verify-djnsty23

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Redirects deep code verification tasks to the review workflow, reducing manual review effort and ensuring consistent checks.

Core Features & Use Cases

  • Full-depth verification: triggers comprehensive checks via review with depth levels.
  • Adaptive review: defaults to scalable effort for typical workflows.
  • Quick build/typecheck: supports fast verification for smoke checks and quick feedback.

Quick Start

Ask the AI to run a full-depth verification by issuing a review deep command.

Frequently Asked Questions about verify

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

FAQPage Schema
How do I automate deep code verification for my software development pipeline?▼

Deep code verification is automated by delegating quality checks to a review workflow. This ensures consistent code review processes across full-depth verification, adaptive review, and quick build or typecheck scenarios.

What is the best way to run a full-depth code review with adaptive effort levels?▼

Full-depth code review is triggered by issuing a review deep command, which initiates comprehensive checks. The workflow defaults to scalable effort for typical tasks while supporting adaptive review depth levels.

Can I use this for quick build and typecheck smoke checks?▼

Quick build and typecheck scenarios are supported for fast verification and smoke checks. This allows developers to receive quick feedback without running the full-depth code review process.

How does adaptive code review work for typical software engineering workflows?▼

Adaptive code review works by defaulting to scalable effort levels suited for typical software engineering workflows. This reduces manual review effort by adjusting verification depth based on the specific review command issued.

Do I need specific dependencies to run automated code verification?▼

No specific dependencies are required to run automated code verification. The workflow is defined using a YAML frontmatter configuration that specifies triggers, access controls, and behavior without external dependencies.

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