qq-bridge: Bridge between QQ and DeepSeek Harness agents: social simulation, safe MCP tools, slang learning and more

by Derpyu520 · MCP Server · ★ 1.8k

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

How to install qq-bridge

git clone https://github.com/Derpyu520/qq-bridge.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentchatbotdeepseek-harnessdshonebotqq-botsnowluma

Quick Facts

Stars1,782
Forks81
LanguageJavaScript
CategoryMCP Server
Quality Score63/100
Open Issues47
Last Updated2026-10-22
Created2026-08-25
Platformsmcp, node
Est. Tokens~15k

About qq-bridge

QQ ↔ DeepSeek Harness 桥接 English: README.en.md | 中文: README.md 📘 详细内外核说明书见 docs/PROJECTGUIDE.md(架构、数据流、配置全解、调试与改进指南)。 🔒 QQ 会话的权限边界与安全承诺见 RULES.md。 把 QQ 消息接入 DSH agent:QQ 好友/群发来的消息会变成 DSH 会话里的用户消息,agent 的回复(含提问、工具审批)会发回 QQ。 ⚠️ 当前版本 ,适配 DSH 0.1.5-rc.1(在该版本上逐项实测)。使用 Cookie 鉴权、斜杠 RPC 和 事件流;这一代协议自 DSH 起引入,与更早的点号 endpoint 协议不兼容——DSH 及更早请改用 tag 。 默认分支 就是本版本, 直接拿到,无需切换分支。 项目展示 📽️ AI 仿真群友 - 项目介绍视频(约 11...

Compatible Skills

These tools work well together with qq-bridge for enhanced workflows:

  • dsh-chat-import — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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