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 lincotalk · Codex Skill · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is linco-bridge safe to install? View the security audit →
Linco Bridge An open bridge layer that connects AI Agent tools running on a personal computer to web, H5, mini program, app, IM, and custom clients. Status: Open Source Alpha. Interfaces and compatibility may change with documented migration notes. iOS App · Android App · Hosted Demo · Watch Demo · Quick Start · 简体中文 ✨ Highlights | Keep Agent CLIs runni
| Stars | 90 |
| Forks | 7 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.7427036160694/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-09 |
| Created | 2026-07-06 |
| Platforms | browser, claude-code, cli, codex, node |
| Est. Tokens | ~15k |
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linco-bridge is Open bridge layer connecting local AI Agent CLIs to web, H5, mini programs, apps, IM, and custom clients.. It is categorized as a Codex Skill with 90 GitHub stars.
linco-bridge is primarily written in JavaScript. It covers topics such as agent-bridge, ai-agents, claude-code.
You can find installation instructions and usage details in the linco-bridge GitHub repository at github.com/lincotalk/linco-bridge. The project has 90 stars and 7 forks, indicating an active community.
linco-bridge is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to linco-bridge on Agent Skills Hub include kindly-web-search-mcp-server, signetai, maestro. 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: