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 ltmoerdani · AI Skill · ★ 192
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is opencode-copilot-chat safe to install? View the security audit →
🚀 OpenCode for GitHub Copilot Chat Use 30+ frontier AI models (DeepSeek V4, Kimi K3, GLM-5.2, GPT-5.6, Claude Opus 5, Gemini 3.6, Grok 4.5…) in GitHub Copilot Chat — BYOK Bring Your Own Key (BYOK) · OpenCode Zen (free + paid models) or Go ($10/mo subscription) · Works with native Copilot Agent Mode ✨ Why you'll love it · ⚡ Quick Start (60 sec) · 🧠 Models · [
| Stars | 192 |
| Forks | 31 |
| Language | TypeScript |
| Category | AI Skill |
| License | MIT |
| Quality Score | 61.4137435891115/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-25 |
| Created | 2026-05-13 |
| Platforms | claude-code, gemini, node, vscode |
| Est. Tokens | ~26k |
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opencode-copilot-chat is Use 30+ AI models (DeepSeek, Kimi, GLM, Claude, GPT-5.5, Gemini, Grok) in GitHub Copilot Chat - free via BYOK. No Copilot Pro needed.. It is categorized as a AI Skill with 192 GitHub stars.
opencode-copilot-chat is primarily written in TypeScript. It covers topics such as agent-mode, ai, anthropic.
You can find installation instructions and usage details in the opencode-copilot-chat GitHub repository at github.com/ltmoerdani/opencode-copilot-chat. The project has 192 stars and 31 forks, indicating an active community.
opencode-copilot-chat is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to opencode-copilot-chat on Agent Skills Hub include chat.md, bridgic, agnix. 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: