CLI-WeChat-Bridge — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by UNLINEARITY · Codex Skill · ★ 499

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is CLI-WeChat-Bridge safe to install? View the security audit →

About CLI-WeChat-Bridge

CLI WeChat Bridge <img alt="scoped npm downloads" src="https://img.shields.io/npm/dm/@unlinearity/cli-wechat-bridge?label=Scoped%20downloads&amp;style=for-the-badge&amp;logo=npm&amp;color=15803d&amp

agentaibotclaude-codeclawdbotclicodexopencodepiwechat

Quick Facts

Stars499
Forks54
LanguageTypeScript
CategoryCodex Skill
LicenseAGPL-3.0
Quality Score63.0083894741032/100
Open Issues4
Last Updated2026-09-20
Created2026-03-23
Platformsclaude-code, cli, codex, node
Est. Tokens~17k

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Frequently Asked Questions

What is CLI-WeChat-Bridge?

CLI-WeChat-Bridge is 将 AI 命令行工具以最为原生的方式,集成到微信 ClawBot / 企业微信 bot 中,目前支持集成 Codex、Claude Code、OpenCode、Pi Agent。 支持微信和本地终端线程(thread/session)共享、双向对话,支持将本地文件传输至微信,微信也支持发送文件到终端。现已支持多 cli 切换、微信表情绑定指令、双向 /resume 对话恢复。. It is categorized as a Codex Skill with 499 GitHub stars.

What programming language is CLI-WeChat-Bridge written in?

CLI-WeChat-Bridge is primarily written in TypeScript. It covers topics such as agent, ai, bot.

How do I install or use CLI-WeChat-Bridge?

You can find installation instructions and usage details in the CLI-WeChat-Bridge GitHub repository at github.com/UNLINEARITY/CLI-WeChat-Bridge. The project has 499 stars and 54 forks, indicating an active community.

What license does CLI-WeChat-Bridge use?

CLI-WeChat-Bridge is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to CLI-WeChat-Bridge?

The top alternatives to CLI-WeChat-Bridge on Agent Skills Hub include agentsys, OpenContext, vibe-remote. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools