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 ghuntley · MCP Server · ★ 405
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is groundhog safe to install? View the security audit →
Groundhog AI Coding Assistant Groundhog's primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can drive these tools harder (or perhaps make your own!). As part of the series kicked off at http://ghuntley.com/specs we'll be building it together, increment by increment. Please don't raise GitHub issues mentioning that XYZ does not work as I'm yet to decide on the community model around the project and doing customer support for free is not high up on my list. Groundhog is a teaching tool first. If you want a full-blown thing right now, go check out "Goose", "Roo/Cline", "Aider" or "AllHands".
| Stars | 405 |
| Forks | 20 |
| Language | Rust |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 70.3977273855835/100 |
| Open Issues | 1 |
| Last Updated | 2025-08-20 |
| Created | 2025-03-03 |
| Platforms | mcp, rust |
| Est. Tokens | ~623k |
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groundhog is Groundhog's primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can . It is categorized as a MCP Server with 405 GitHub stars.
groundhog is primarily written in Rust. It covers topics such as ai, ai-agent, coding-assistant.
You can find installation instructions and usage details in the groundhog GitHub repository at github.com/ghuntley/groundhog. The project has 405 stars and 20 forks, indicating an active community.
groundhog is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to groundhog on Agent Skills Hub include atlassian-mcp-server, context-space, python-utcp. 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: