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 shengjidaguai-china · Codex Skill · ★ 3.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is goutoujunshi safe to install? View the security audit →
升级打怪开源社区 首批开放共建项目 · 点击组织首页右上角 Follow，及时获取新项目与共建活动 简体中文 · English 狗头军师 · Goutoujunshi 不只替你回消息，更帮你看清关系、判断局势、决定下一步。 面向心动、暧昧、追求、冲突、分手与复合的 AI 恋爱军师， 结合情绪支持、关系科学、聊天记录分析和长期记忆，把复杂关系变成可执行的下一步。 如果它能让你少一次内耗、多一次清醒，欢迎点亮一个 ⭐ Star：方便以后回来，也帮助更多有同样困惑的人发现它。 很多恋爱建议只有两个答案：“勇敢去追”或“赶紧分手”。狗头军师不会只凭一句话替你下结论：它先接住情绪，再把事实、推测和未知拆开；既看心动，也看现实条件、互惠、风险、机会成本和长期选择权，最后给出可以真正执行的下一步。 它不只是一个话术库。它能读取聊天截图、导出文本和用户转述，区分素材来源与事实边界；也能把分析落到一句可发送的话、一次具体邀约、第一次见面安排或一段可复盘的对话演练。它是一套覆盖恋爱全周期、面向多元关系、能够解释建议理由的 Codex Skill。 它能帮你解决什么 先给一条能
| Stars | 3,011 |
| Forks | 326 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 60.2721574674675/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-20 |
| Created | 2026-07-20 |
| Platforms | codex, python |
| Est. Tokens | ~14k |
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一个先接住情绪、再分析关系并给出可执行策略的 Codex 恋爱军师，内置心理、法律、社会、人文、哲学、婚姻家庭与性学知识库，支持多元关系。
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goutoujunshi is 一个先接住情绪、再分析关系并给出可执行策略的 Codex 恋爱军师，内置心理、法律、社会、人文、哲学、婚姻家庭与性学知识库，支持多元关系。. It is categorized as a Codex Skill with 3.0k GitHub stars.
goutoujunshi is primarily written in Python. It covers topics such as ai-agent, chinese, codex.
You can find installation instructions and usage details in the goutoujunshi GitHub repository at github.com/shengjidaguai-china/goutoujunshi. The project has 3.0k stars and 326 forks, indicating an active community.
goutoujunshi is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to goutoujunshi on Agent Skills Hub include goutoujunshi, godogen, awesome-openclaw-usecases-zh. 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: