by ben-vargas · Agent Tool · ★ 123
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🔒 Is ai-sdk-provider-opencode-sdk safe to install? View the security audit →
AI SDK Provider for OpenCode Latest Release: Version 3.x supports AI SDK v6. Version 2.x is the previous AI SDK v6 line. For AI SDK v5 support, use the tag (0.x.x). A community provider for the Vercel AI SDK that enables using AI models through OpenCode and the APIs. OpenCode is a terminal-based AI coding assistant that supports multiple providers (Anthropic, OpenAI, Google, and more). This provider enables you to use OpenC
npm install ai-sdk-provider-opencode-sdk ai@^6.0.0
npm install ai-sdk-provider-opencode-sdk@ai-sdk-v5 ai@^5.0.0Taken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 123 |
| Forks | 12 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 74.7666733839953/100 |
| Last Updated | 2026-10-06 |
| Created | 2025-12-10 |
| Platforms | gemini, node |
| Est. Tokens | ~17k |
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ai-sdk-provider-opencode-sdk is Vercel AI SDK community provider for OpenCode SDK - Use OpenCode configured providers via SDK. It is categorized as a Agent Tool with 123 GitHub stars.
ai-sdk-provider-opencode-sdk is primarily written in TypeScript. It covers topics such as ai-sdk, ai-sdk-v5, anthropic.
The README on GitHub (github.com/ben-vargas/ai-sdk-provider-opencode-sdk) gives: npm install ai-sdk-provider-opencode-sdk ai@^6.0.0 , then npm install ai-sdk-provider-opencode-sdk@ai-sdk-v5 ai@^5.0.0. Usage details are in the same README.
ai-sdk-provider-opencode-sdk is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-sdk-provider-opencode-sdk on Agent Skills Hub include code-container, container, Adnify. 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: