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VibeSafe — Security Pre-Flight for AI Coding Agents

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59,552installs
Updated May 2026

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Description

Security pre-flight for AI coding agents — plan libs, audit CVEs, certify, then code. Non-blocking in autonomous mode (ex-post report).

Install VibeSafe — Security Pre-Flight for AI Coding Agents

Run this in your OpenClaw agent to add VibeSafe — Security Pre-Flight for AI Coding Agents from the ClawHub registry.

terminal
$openclaw skills install nerua1-vibe-safe

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

危险56/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is VibeSafe — Security Pre-Flight for AI Coding Agents safe to install?

VibeSafe — Security Pre-Flight for AI Coding Agents has a SkillsReview security score of 56/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does VibeSafe — Security Pre-Flight for AI Coding Agents cost?

VibeSafe — Security Pre-Flight for AI Coding Agents is free to install for OpenClaw via ClawHub.

What are the best alternatives to VibeSafe — Security Pre-Flight for AI Coding Agents?

You can compare VibeSafe — Security Pre-Flight for AI Coding Agents side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install VibeSafe — Security Pre-Flight for AI Coding Agents?

Install VibeSafe — Security Pre-Flight for AI Coding Agents from ClawHub at clawhub.ai/skills/nerua1-vibe-safe, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score2.53 / 5.00
Installs59,552
Last UpdateMay 11, 2026
Recently updated (30d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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