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 Rion-Wu-tech · Codex Skill · ★ 2.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is wechat-intelligence-hub safe to install? View the security audit →
WeChat Intelligence Hub 微信个人情报库：把本地微信聊天变成可检索、可核查、可行动的个人情报，包括联系人历史、群聊主题、待回复、承诺、商机、复联线索，以及任意指定时间范围的情报报告。 这不是 Prompt 大礼包，而是一个独立的微信旗舰项目。仓库同时提供只读数据入口和情报工作流，并配有可执行入口、边界、测试和全虚构样例。 当前首发版本为 。微信相关代码已经具备公开测试条件，但不是“安装后自动读取所有人的完整微信历史”：完整数据库模式需要本人授权的本地数据库和访问材料。Reader 核心不获取密钥、不重签名、不注入、不 Hook 微信；可选的实验性接入助手有独立授权和副作用边界，见下文。 一个产品，两个 Skill 微信能力在代码中分成四层，方便独立测试和维护；对用户仍是一套产品、一次安装： ：Rion 自有的 clean-room 只读 Reader 核心。 ：Reader 的统一 Agent 入口，默认只调用 Rion 自有 Reader；只有使用者显式设置 时才调用兼容后端。 ：Agent 的调用入口与判断规则。 ：确定性本地引擎、虚构样例和测试。 Rion 的通用 Skill 合集 只负责收录、发现和链接本项目，不复制微信读取器源码或 Git 历史。 安装 直接让Codex安装和配置 把下面这段发给Codex即可，不需要自己逐条执行命令： 这是有人确认关键操作的接入工作流，不是无条件、无人值守的解密。已有安装如何升级、微信升级后如何排障，见配置与排障提示词。 手动安装入口 先确认接入条件：安装成功不等于已能读取聊天。 已有本机访问材料可直接验证、导入；没有k
| Stars | 2,096 |
| Forks | 2,579 |
| Language | Python |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 59.2205517924787/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-11 |
| Created | 2026-09-04 |
| Platforms | cli, codex, python |
| Est. Tokens | ~15k |
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wechat-intelligence-hub is Local-first WeChat intelligence system with a read-only CLI, Codex skills, searchable chat history, daily briefings, follow-ups and opportunity tracking.. It is categorized as a Codex Skill with 2.1k GitHub stars.
wechat-intelligence-hub is primarily written in Python.
You can find installation instructions and usage details in the wechat-intelligence-hub GitHub repository at github.com/Rion-Wu-tech/wechat-intelligence-hub. The project has 2.1k stars and 2579 forks, indicating an active community.
wechat-intelligence-hub is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to wechat-intelligence-hub on Agent Skills Hub include refly, Claude-to-IM-skill, skillshare. 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: