by manhai934 · AI Tool · ★ 123
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 123 |
| Forks | 13 |
| Language | Python |
| Category | AI Tool |
| Quality Score | 55/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-06 |
| Created | 2026-05-08 |
| Platforms | python |
| Est. Tokens | ~14k |
Novel-Harness 面向老书虫转作者和已有作者的 AI 小说创作陪练。 经过本人测试和实际落地小说章节的经历，现在的AI不适合直出内容，网上说的直出都是骗人的，之所以能看都是因为他们有人工精修，不然一眼AI味，所以我重新调整了项目的初衷，他现在更像是一个写作灵感陪练。 AI 帮你激发灵感、拆解章节、提供写作支架、检查问题和管理长篇上下文；你负责选择方向、完成表达、人工精修和最终定稿。 不承诺一键生成可直接上架的小说。默认写作方式是把一章拆成一块块可手动填充的“空瓶”，帮助看得多、写得少的老书虫跨过卡文，也帮助已有作者获得脑洞、素材和第二视角。只有明确要求时才生成完整正文，并统一视为待人工精修粗稿。 项目现在也带有一个测试版知识包市场维护能力：服务器维护可下载的题材包、写作包和去 AI 化参考包，本地 MCP 负责查看列表、安装到 ，再交给 RAG...
Looking for a novel-harness alternative? If you're comparing novel-harness with other ai tool tools, these 4 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
Skill to talk to Claude about your projects over the phone
.NET MAUI skills for GitHub Copilot and Claude Code
Explore other popular ai tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: