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 PenglongHuang · Agent Tool · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is chinese-novelist-skill safe to install? View the security audit →
🎭 chinese-novelist skill 让 AI 为你写一部完整的中文小说 🎉 v2.0 重构发布：引入三层递进式问答、偏好记忆系统、中断续写、三种写作模式和自动校验修复！ 查看 v1.0 → v2.0 升级说明 了解详情。 ✨ 为什么用这个？ 写小说最难的是坚持写完。这个 Skill 专为解决这个痛点而生： 智能问答 - 三层递进式问答，支持快速跳过和随机生成 偏好记忆 - 跨会话学习你的喜好，下次创作更贴心 中断续写 - 意外中断？自动检测并从断点继续 多种写作模式 - 串行 / 子Agent并行 / Agent Teams，按需选择 自动校验 - 完成后自动检查字数和连贯性，不合格自动重写 每章必爽 - 开头即高潮，结尾留悬念 🚀 快速开始 安装skill： 输入指令： 🖼️ 使用过程 Phase 1 — 交互问答 Phase 2 — 规划确认 Phase 3 — 疯狂创作 Phase 4 — 完稿输出 🧠 创作记忆 每次创作后，Skill 会自动学习你的偏好：喜欢的题材类型、叙
| Stars | 2,815 |
| Forks | 422 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62.4787209367551/100 |
| Open Issues | 14 |
| Last Updated | 2026-09-06 |
| Created | 2026-01-25 |
| Platforms | browser, claude-code, python |
| Est. Tokens | ~15k |
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chinese-novelist-skill is 🎭 AI 写小说：从零生成 10-50 章完整中文小说，三层问答 · 创作记忆 · 悬念钩子 · 自动校验，长篇网文连载皆宜｜开源免费，适配主流 coding agent｜AI novel writing skill. It is categorized as a Agent Tool with 2.8k GitHub stars.
chinese-novelist-skill is primarily written in Python. It covers topics such as agent, ai-fiction, ai-novel.
You can find installation instructions and usage details in the chinese-novelist-skill GitHub repository at github.com/PenglongHuang/chinese-novelist-skill. The project has 2.8k stars and 422 forks, indicating an active community.
chinese-novelist-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to chinese-novelist-skill on Agent Skills Hub include oh-story-claudecode, oh-story-claudecode, avoid-ai-writing. 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: