by qin1473692580-ux · AI Tool · ★ 105
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add https://github.com/qin1473692580-ux/oh-story-claudecode/releases/latest/download/oh-story-release.zip -y -gTaken from the project's README on GitHub. Check the security audit before running it.
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 | 105 |
| Forks | 23 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 52/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-01 |
| Created | 2026-08-08 |
| Platforms | claude-code, python |
| Est. Tokens | ~18k |
English | 中文 oh-story 网文写作 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。内置适配 Claude Code、OpenCode、TRAE Code、WorkBuddy / CodeBuddy Code、ZCode、OpenClaw、Codex CLI、Reasonix；能读取项目文件的 Web AI / Agent 环境也可按通用 skills 路径使用。 独立仓库与发行线：本仓库是 oh-story 的现役独立产品仓库和发行线，不属于 GitHub Fork 网络，也不会自动同步任何外部仓库。后续功能、版本、Dev/Release 渠道及商业化由本项目独立规划和维护。早期代码基于 MIT 开源版本演进；完整 Git 历史用于持续记录代码来源与贡献归属，具体许可见 。 本 README...
Looking for a oh-story-claudecode alternative? If you're comparing oh-story-claudecode 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: