vnsh — security grade SAFE, quality 78/100

Security audit verdict: SAFE · quality 78/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by raullenchai · MCP Server · ★ 156

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is vnsh safe to install? View the security audit →

About vnsh

vnsh The Ephemeral Dropbox for AI Website • Quick Start • How It Works • Self-Hosting • API What is vnsh? Stop pasting walls of text into Claude. Pipe your logs, diffs, and images into a

ai-agentsclaudeclaude-codeclicloudflare-workerscursordeveloper-toolsencryptionend-to-end-encryptionfile-sharing

Quick Facts

Stars156
Forks24
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score77.5649871428724/100
Open Issues18
Last Updated2026-09-06
Created2026-01-24
Platformsclaude-code, cli, mcp, node
Est. Tokens~17k

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Frequently Asked Questions

What is vnsh?

vnsh is One workspace all your AI agents can read and write. Encrypted client-side, model-agnostic, gone 24h after the last edit.. It is categorized as a MCP Server with 156 GitHub stars.

What programming language is vnsh written in?

vnsh is primarily written in TypeScript. It covers topics such as ai-agents, claude, claude-code.

How do I install or use vnsh?

You can find installation instructions and usage details in the vnsh GitHub repository at github.com/raullenchai/vnsh. The project has 156 stars and 24 forks, indicating an active community.

What license does vnsh use?

vnsh is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to vnsh?

The top alternatives to vnsh on Agent Skills Hub include TaskWing, Overture, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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