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 Moore-developers · Codex Skill · ★ 280
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is moore-wechat-article-downloader safe to install? View the security audit →
微信内容情报库 一个本地优先的 Skill：把微信公众号文章、评论和互动数据保存到本地，变成可搜索、可分析、可复用的资料库。 它的目标很简单：把散在微信里的公众号内容，整理成你自己可搜索、可分析、可长期使用的本地资料库。 它适合谁 内容创作者：拆选题、拆标题、拆表达方式。 研究者 / 产品人：长期跟踪多个公众号，比较变化。 知识管理用户：把微信内容沉到自己的本地资料库、wiki 或第二大脑。 AI 用户：把公众号内容变成 Codex / Claude Code 可以继续分析的输入。 四个核心场景 1) 同步更新 适合“我想把关注的公众号变成可追踪列表”。 你可以说： 这个场景的目标很简单：把信息流变成可管理的文章库。 默认只抓正文，不抓评论和互动数据。 2) 公众号研究 适合“我想拆出一个公众号的选题方法和读者反馈”。 你可以说： 这里真正有价值的不是正文本身，而是： 正文：作者怎么立题、怎么铺结构、怎么收口 评论：读者为什么买账、哪里反对、哪里追问 互动数据：哪些题材真的触发了传播和扩散 如果你想学一个公众号，这个场景比单纯下载更重要，因为你要的是“可以借鉴的方法”，不是一堆文件。 3) 微信收藏会话 适合“我边看边存正文、评论和互动信号”。 你可以说： 然后在微信里正常打开文章，看到值得保留的内容时点页面里的 。 它能保存： 当前文章正文 已加载的评论 页面当前暴露的阅读、点赞、在看、评论等数据 图片和页面结构信息 如果你明确要求“评论和互动数据”，它会在短时有效窗口内为同公众号的已同步文章补充这些数据。 4) 链接归档 适合“我已经有一批零散链接，想收进本地资料库”。 你可以说： 这个场景的重点不是导入动作本身，而是把零散链接变成统一的本地文章库。 为什么这个 Skill 有用 微信收藏只能帮你记住“看过”，不能帮你重新使用；这个 Skill 会把文章、图
| Stars | 280 |
| Forks | 42 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61.8995060473982/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-01 |
| Created | 2026-07-08 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
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moore-wechat-article-downloader is 本地优先的微信内容情报库：同步公众号文章，保存精选评论和互动数据，供 Codex/Claude Code 做内容研究。. It is categorized as a Codex Skill with 280 GitHub stars.
moore-wechat-article-downloader is primarily written in Python. It covers topics such as ai-agent, claude-code, codex-skill.
You can find installation instructions and usage details in the moore-wechat-article-downloader GitHub repository at github.com/Moore-developers/moore-wechat-article-downloader. The project has 280 stars and 42 forks, indicating an active community.
moore-wechat-article-downloader is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to moore-wechat-article-downloader on Agent Skills Hub include comfyui-mcp, omega-memory, cccc. 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: