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 AnEntrypoint · MCP Server · ★ 122
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gm-exec safe to install? View the security audit →
gm-exec NOTE: If you're looking fore mcp-repl or, glootie, or GM... its now at: http://github.com/anEntrypoint/gm Code execution tool for MCP clients and CLI. Multi-language support (JS/TS, Python, Go, Rust, C, C++, Deno, Java, bash). Built on Bun with PM2-managed process isolation. MCP Server Add to your MCP client config: Or install globally: CLI Commands gm-exec-cli exec [options] Execute code (waits up to 15s, then backgrounds) --lang= nodejs (default), python, go, rust, c, cpp, java, deno --cwd= Working directory --file= Read code from file gm-exec-cli bash [--cwd=] Execute bash commands, same 15s ceiling gm-exec-cli status Poll status + drain output of a background task gm-exec-cli close Delete a background task gm-exec-cli runner start Start the runner manually (PM2, no autorestart) gm-exec-cli runner stop Stop the runner gm-exec-cli runner status
| Stars | 122 |
| Forks | 15 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.3060996787349/100 |
| Last Updated | 2026-04-16 |
| Created | 2025-03-30 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~1568k |
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gm-exec is wanna develop an app ❓. It is categorized as a MCP Server with 122 GitHub stars.
gm-exec is primarily written in JavaScript. It covers topics such as ai-tools, ast, claude.
You can find installation instructions and usage details in the gm-exec GitHub repository at github.com/AnEntrypoint/gm-exec. The project has 122 stars and 15 forks, indicating an active community.
gm-exec is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gm-exec on Agent Skills Hub include arbor, deep-code-reasoning-mcp, fossil-mcp. 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: