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 · ★ 5.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is oh-story-claudecode safe to install? View the security audit →
oh-story-claudecode 网文写作 skill 包,覆盖长篇与短篇网文的扫榜、拆文、写作、去AI味全流程。 流程总览 安装 把仓库地址喂给 Claude Code 或 OpenClaw,说「安装这个 skill」就行: 或者用命令行: 更新时重新执行同一条命令即可。 Skills /story-long-anal
| Stars | 5,945 |
| Forks | 888 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 61.7428703176462/100 |
| Open Issues | 8 |
| Last Updated | 2026-08-22 |
| Created | 2026-04-22 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~13k |
Looking for a oh-story-claudecode alternative? If you're comparing oh-story-claudecode with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Sl
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oh-story-claudecode is 网文/小说写作 skill 包,覆盖长篇与短篇网络小说的扫榜、拆文、写作、去AI味、封面图全流程 | An all-in-one skill pack for long- and short-form web fiction.. It is categorized as a Claude Skill with 5.9k GitHub stars.
oh-story-claudecode is primarily written in JavaScript. It covers topics such as ai-agent, ai-writing, chinese-novel.
You can find installation instructions and usage details in the oh-story-claudecode GitHub repository at github.com/worldwonderer/oh-story-claudecode. The project has 5.9k stars and 888 forks, indicating an active community.
oh-story-claudecode is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to oh-story-claudecode on Agent Skills Hub include oh-story-claudecode, chinese-novelist-skill, inkos. 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: