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 tanaikech · MCP Server · ★ 171
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ggsrun safe to install? View the security audit →
ggsrun []() Table of Contents ggsrun Table of Contents Overview Features of ggsrun The 5 Pillars of the v5 Architecture A. Massively Parallel I/O \& UI B. Full Shared Drive (Omni-Drive) Support C. Intelligent GAS \& MIME Resolution D. Robust Fault Tolerance \& Auto-Retry E. MCP (Model Context Protocol) Integration Installation \& Setup Install ggsrun Obtain Google Cloud Credentials Automated Authorization (OAuth2 Loopback) [4. Set Up Execution Server (GAS Side)](#4-set-up-exe
| Stars | 171 |
| Forks | 18 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.7922463909099/100 |
| Last Updated | 2026-08-26 |
| Created | 2017-04-24 |
| Platforms | cli, go, mcp |
| Est. Tokens | ~24k |
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ggsrun is High-performance Google Drive CLI and Model Context Protocol (MCP) Server for LLM/AI agents. Natively execute Google Apps Script (GAS) under a secure whitelisted runtime sandbox, automate transfers, a. It is categorized as a MCP Server with 171 GitHub stars.
ggsrun is primarily written in Go. It covers topics such as ai-agents, cli, cli-app.
You can find installation instructions and usage details in the ggsrun GitHub repository at github.com/tanaikech/ggsrun. The project has 171 stars and 18 forks, indicating an active community.
ggsrun is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ggsrun on Agent Skills Hub include roam-code, octomind, skene. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: