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 iniwap · Codex Skill · ★ 2.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AIWriteX safe to install? View the security audit →
AIWriteX- 微信公众号AI写作助手 | CrewAI多智能体爆文生成神器 AIWriteX 新一代智能内容创作平台：一键全自动热点选题 + 实时搜索借鉴 + AI创意生成 + 精美排版 + AI自动配图 + 微信公众号自动发布，融合 AI + 全网热点雷达 + 微信文章采集下载 + 深度洗稿与内容挖掘 + 多智能体协作 + 去AI味润色 + 手机智能体控制/类OpenClaw + 系统智能自进化，让你的文章快人一步、阅读量10w+不是梦！ 想先看看效果？ 👉 实例预览 想用商业稳定版？ 👉 前往官网 喜欢这个项目？ ⭐ 点个 Star 支持一下吧！ 🧭 专家赛道：让 AI 像垂直领域主笔一样创作 不是简单套模板，而是为不同内容领域配置一套完整的专业写作路径。专家赛道会把选题
| Stars | 2,020 |
| Forks | 404 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 57.1023133533596/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-24 |
| Created | 2025-04-02 |
| Platforms | browser, python |
| Est. Tokens | ~17k |
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AIWriteX is AIWriteX - 微信公众号全自动AI工具：全网热搜舆情聚合+趋势分析+爆款选题+文章采集+一键生成排版发布 | AI自动配图 | 去AI味、过朱雀检测 | 支持小红书/百家号/头条等多平台 | 洗稿润色支持多账号 | 专家赛道 | 小绿书贴图 | 短视频文案 | 手机控制 | 小说连载 | 爆文10w+神器. It is categorized as a Codex Skill with 2.0k GitHub stars.
AIWriteX is primarily written in Python. It covers topics such as agents, ai-agents, ai-auto-wxgzh.
You can find installation instructions and usage details in the AIWriteX GitHub repository at github.com/iniwap/AIWriteX. The project has 2.0k stars and 404 forks, indicating an active community.
AIWriteX is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to AIWriteX on Agent Skills Hub include mcp-agent, lamda, klavis. 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: