by huangziyuan-general · Agent Tool · ★ 15
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 | 15 |
| Forks | 3 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63/100 |
| Last Updated | 2026-10-10 |
| Created | 2026-09-11 |
| Platforms | node |
| Est. Tokens | ~15k |
DSH 小说锻炉:把 AI 长篇写作通病变成代码强制的硬约束(事实账本/上下文包/阶段门禁/零费用去AI味扫描/确定性审计/提案制修订)。Novel-writing guardrails plugin for DeepSeek Harness (DSH).
Looking for a dsh-novel-forge alternative? If you're comparing dsh-novel-forge with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The definitive MCP server for Scrivener — connect your novels, screenplays, and manuscripts to Claude, ChatGPT
Novel Engine is a desktop app that lets you construct novels. Seven AI agents handle the editorial pipeline —
使用codex(gpt 5.5)蒸馏原始项目AI_NovelGenerator生成的长篇小说生成 SKILL,优化记忆系统
Security plugin for OpenClaw agents - prevents secret leaks, PII exposure, and destructive command execution
You.com skills and plugins for web search, content extraction, research, finance, and integration discovery, h
📝 md2wechat Lite | 轻量版微信公众号 Markdown 排版 CLI,免费开源
Explore other popular agent 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: