by Rion-Wu-tech · Codex Skill · ★ 2.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Rion-Wu-tech/wechat-intelligence-hub.gitTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 2,575 |
| Forks | 2,743 |
| Language | Python |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 59/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-29 |
| Created | 2026-09-04 |
| Platforms | cli, codex, python |
| Est. Tokens | ~15k |
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。...
Looking for a wechat-intelligence-hub alternative? If you're comparing wechat-intelligence-hub with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex
Bridge Claude Code / Codex to IM platforms — chat with AI coding agents from Telegram, Discord, or Feishu/Lark
Skills for pi coding agent (compatible with Claude Code and Codex CLI)
A Claude or Codex skill for deliberate skill development during AI-assisted coding
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart sear
Supercharge AI coding agents with portable skills. Install, translate & share skills across Claude Code, Curso
Explore other popular codex skill tools:
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: