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 Alignbase · MCP Server · ★ 217
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sunpeak safe to install? View the security audit →
sunpeak Server-agnostic MCP testing framework and full-stack MCP App framework. MCP Apps are cross-platform, meaning sunpeak is a ChatGPT App framework, Claude Connector framework, and more. ChatGPT
| Stars | 217 |
| Forks | 12 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.5371659680749/100 |
| Last Updated | 2026-09-22 |
| Created | 2025-11-17 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~16k |
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sunpeak is Server-agnostic MCP testing framework and full-stack MCP App framework for ChatGPT Apps, Claude Connectors, and more.. It is categorized as a MCP Server with 217 GitHub stars.
sunpeak is primarily written in TypeScript. It covers topics such as chatgpt-app, chatgpt-app-framework, chatgpt-apps-sdk.
You can find installation instructions and usage details in the sunpeak GitHub repository at github.com/Alignbase/sunpeak. The project has 217 stars and 12 forks, indicating an active community.
sunpeak is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to sunpeak on Agent Skills Hub include sunpeak, orchestkit, zhin. 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: