What happens if a verification checkpoint fails?

The execution is explicitly blocked. The AI will report which checkpoint failed and provide a list of required steps to gather more evidence or realign the hypothesis before it can proceed.

When does this skill activate during a session?

The gate activates automatically before any Bash command that modifies system state, any file write/edit operation, or any action following an error diagnosis.

How does it prevent AI coding errors?

It stops the AI from 'pattern-matching' (jumping to common but incorrect solutions based on training data) by requiring specific evidence from the current project's files and documentation.

Is it compatible with other Claude Code plugins?

Yes, it acts as a wrapper protocol that enhances other skills like Python development, Bash scripting, and linting by adding an extra layer of safety and validation.

What is the Verification Gate skill for Claude Code?

It is a specialized capability that forces the AI to pass through mandatory checkpoints—Hypothesis Statement, Verification, Alignment, and Pattern Detection—before executing any code changes or terminal commands.

Verification Gate

Name: Verification Gate
Author: BbgnsurfTech

byBbgnsurfTech

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개발자 도구

Enforces mandatory reasoning checkpoints to prevent pattern-matching errors and ensure implementation actions align with verified hypotheses.

소개

The Verification Gate skill introduces a robust structural protocol for Claude Code, requiring the AI to explicitly state and verify hypotheses before executing any file or system modifications. By blocking actions that lack evidence or suffer from system misalignment, it effectively eliminates cognitive dissonance between a correct diagnosis and an incorrect implementation. This skill is particularly valuable in complex environments where multiple dependency systems or configuration layers exist, ensuring that the AI operates on project reality rather than generic training data patterns.

주요 기능

Mandatory 4-step verification protocol for all implementation actions
Real-time hypothesis-action alignment checking to prevent misdirected fixes
Detailed execution blocking reports that provide clear next steps for resolution
Evidence-based validation requirements using project files and official documentation
3 GitHub stars
Automated detection of training data pattern-matching and hallucinations

사용 사례

Debugging complex dependency issues across multiple package managers like PEP 723 and pyproject.toml
Implementing configuration changes in multi-layered infrastructure and network environments
Preventing accidental global system changes when local project-specific fixes are required

소개

주요 기능

Mandatory 4-step verification protocol for all implementation actions
Real-time hypothesis-action alignment checking to prevent misdirected fixes
Detailed execution blocking reports that provide clear next steps for resolution
Evidence-based validation requirements using project files and official documentation
3 GitHub stars
Automated detection of training data pattern-matching and hallucinations

사용 사례

Debugging complex dependency issues across multiple package managers like PEP 723 and pyproject.toml
Implementing configuration changes in multi-layered infrastructure and network environments
Preventing accidental global system changes when local project-specific fixes are required