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 feiskyer · MCP Server · ★ 161
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is chatgpt-copilot safe to install? View the security audit →
An VS Code ChatGPT Copilot Extension The Most Loved Open-Source ChatGPT Extension for VS Code ChatGPT Copilot is a powerful and telemetry-free extension for Visual Studio Code, bringing the capabilities of ChatGPT directly into your coding environment. Features 🤖 Supports GPT-5, o1/o3, Claude, Gemini, Ollama, Claude Code, Github Copilot and other OpenAI-compatible local models with your API key from OpenAI, Azure OpenAI Service, Google, Anthropic or other providers. 💥 Model Context Protocol (MCP) to bring your own tools for best AI responses. 📂 Chat with your Files: Add multiple files and
| Stars | 161 |
| Forks | 44 |
| Language | TypeScript |
| Category | MCP Server |
| License | ISC |
| Quality Score | 63.5207336284729/100 |
| Open Issues | 30 |
| Last Updated | 2026-06-20 |
| Created | 2023-04-20 |
| Platforms | claude-code, gemini, mcp, node, vscode |
| Est. Tokens | ~314k |
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chatgpt-copilot is ChatGPT Copilot Extension for Visual Studio Code. It is categorized as a MCP Server with 161 GitHub stars.
chatgpt-copilot is primarily written in TypeScript. It covers topics such as chatgpt, claude, copilot.
You can find installation instructions and usage details in the chatgpt-copilot GitHub repository at github.com/feiskyer/chatgpt-copilot. The project has 161 stars and 44 forks, indicating an active community.
chatgpt-copilot is released under the ISC license, making it free to use and modify according to the license terms.
The top alternatives to chatgpt-copilot on Agent Skills Hub include c4-genai-suite, chat.md, ruby-nano-bots. 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: