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 KochC · MCP Server · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is opencode-llm-proxy safe to install? View the security audit →
opencode-llm-proxy One local endpoint. Every model you have access to. Any API format. Tool calling included. opencode-llm-proxy is an OpenCode plugin that starts a local HTTP server on . It translates between the API format your tool speaks and whichever LLM provider OpenCode has configured — so you never reconfigure the same models twice. Supported API formats — all with streaming and tool/function calling: ✨ Tool calli
| Stars | 58 |
| Forks | 15 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.1128843702938/100 |
| Open Issues | 12 |
| Last Updated | 2026-08-25 |
| Created | 2026-03-25 |
| Platforms | browser, gemini, mcp, node |
| Est. Tokens | ~17k |
These tools work well together with opencode-llm-proxy for enhanced workflows:
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opencode-llm-proxy is Local OpenCode-backed LLM gateway for OpenAI, Anthropic, Gemini, and Responses API-compatible tools, with streaming and tool/function calling.. It is categorized as a MCP Server with 58 GitHub stars.
opencode-llm-proxy is primarily written in JavaScript. It covers topics such as ai-gateway, anthropic, coding-agent.
You can find installation instructions and usage details in the opencode-llm-proxy GitHub repository at github.com/KochC/opencode-llm-proxy. The project has 58 stars and 15 forks, indicating an active community.
opencode-llm-proxy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to opencode-llm-proxy on Agent Skills Hub include ToolRegistry, UniClaudeProxy, palot. 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: