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 worldwonderer · Claude Skill · ★ 692
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is novel-to-game safe to install? View the security audit →
NovelToGame 把任何小说变成可玩的网页游戏。 NovelToGame 是一套把小说改编成网页游戏的开源技能,适配 Claude Code、Codex 和 Kimi Code。 它先从原著里找出真正能玩的部分,挑一个合适的改编方向,设计出可玩的世界和画面,再把一份 范围明确的构建说明交给编码智能体去实现,最后验证成品能不能跑起来。 English 为什么需要它 直接把小说丢给模型做游戏,出来的多半是换皮的通用玩法。NovelToGame 解决真正难的那一步: 把这本书特有的世界观、地图、势力、任务、物品和情绪变成玩家动作和核心循环,判断它该做成什么游戏,再一路推进到 能玩的原型。 流程 一个总入口串起六个各司其职的环节,把原始文本一路打磨成可验证、可游玩的原型。 技能 通过 Agent Skills 安装 为你使用的 CLI 安装全部七个技能: 同时安装
| Stars | 692 |
| Forks | 102 |
| Language | Markdown |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 63.926696165146/100 |
| Last Updated | 2026-08-23 |
| Created | 2026-07-18 |
| Platforms | claude-code, codex |
| Est. Tokens | ~16k |
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novel-to-game is Agent Skills that turn novels into source-grounded, fully playable games for Claude Code, Codex, and Kimi Code(K3).. It is categorized as a Claude Skill with 692 GitHub stars.
novel-to-game is primarily written in Markdown. It covers topics such as agent-skills, ai-agents, ai-game-development.
You can find installation instructions and usage details in the novel-to-game GitHub repository at github.com/worldwonderer/novel-to-game. The project has 692 stars and 102 forks, indicating an active community.
novel-to-game is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to novel-to-game on Agent Skills Hub include novel-to-game, awesome-ai-agent-skills, pro-workflow. 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: