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 tomwong001 · Claude Skill · ★ 145
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is qingsheng-skill safe to install? View the security audit →
情圣.skill "在吗起手，必是小丑。" 她发了一条消息，你盯着屏幕看了半小时不知道怎么回？ 聊得好好的突然被已读不回，不知道是自己说错了还是她在忙？ 朋友圈点赞怕太随便，评论又怕太刻意？ 约她被"下次吧"挡了一下，不知道是真下次还是永远不会有？ 暧昧期三个月了推不动，表白怕死得太惨，不表白又怕拖没了？ 脑子里一堆话想跟她说，打出来又全删了，最后发了个"在吗"？ 把你最慌的那一刻，交给一个站在你这边的军师。 不是 PUA 教学 · 不是 ChatGPT 套壳 · 不教你装高价值 基于 1TB+ 过去十年中文情感付费课程语料（语音 · 视频 · 文字 · 真实聊天记录）蒸馏而成 效果示例 · 方法论 · 安装 · 使用 · 适用场景 · 对比其他方案 · 常见问题 情圣 skill 适用场景：微信聊天记录分析、探探 / Soul / Bumble / 青藤之恋 / Tinder 匹配话术、朋友圈展示面诊断、约会邀约模板、女生已读不回应对、高情商回复生成、关系阶段判断、冷启动挽回、同时追多个对象的档案管理。一个在 Claude Code / Cursor 里加载的中文恋爱 AI 私教，基于 1400+ 真实聊天语料蒸馏，本地运行不上传，完全免费开源（MIT License）。付费 PUA 课程、情感咨询、恋爱话术小册子的替代方案。 效果示例 场景一：微信——被动模式警报 你 ❯ 帮我看看这段，她好像有点冷了 情圣 ❯ 微信场景，你们现在卡在阶段 3 的尾巴——问题不在她，在你追得太直。 "周六有空吗 → 周六有事 → 那你什么时候方便" 两轮追时间，需求感 直接拉满，她只能用"最近挺忙"这种万能挡箭牌收尾。
| Stars | 145 |
| Forks | 13 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 61.6383275334933/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-29 |
| Created | 2026-03-12 |
| Platforms | claude-code, cli |
| Est. Tokens | ~13k |
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qingsheng-skill is 情圣 · Claude Code 中文恋爱教练技能 · 微信/探探/Soul/Bumble/青藤之恋聊天截图分析 · 高情商回复生成 · 7阶段关系推进. It is categorized as a Claude Skill with 145 GitHub stars.
qingsheng-skill is primarily written in Shell. It covers topics such as ai-coach, bumble, chat-assistant.
You can find installation instructions and usage details in the qingsheng-skill GitHub repository at github.com/tomwong001/qingsheng-skill. The project has 145 stars and 13 forks, indicating an active community.
qingsheng-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to qingsheng-skill on Agent Skills Hub include creative-director-skill, skill-conductor, claude-for-safari. 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: