oh-story-claudecode: Claude Code / Codex / OpenCode agent skills for writing Chinese web novels: 扫榜、拆文、写作、去AI味

by zenstory-ai · Claude Skill · ★ 8.0k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install oh-story-claudecode

npx skills add zenstory-ai/oh-story-claudecode -y -g

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 60/100

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.

agent-skillsai-agentai-novel-writingai-writingantigravitychinese-novelclaude-codeclaude-code-skillsclaude-skillscodex

Quick Facts

Stars8,023
Forks1,138
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score60/100
Open Issues8
Last Updated2026-10-26
Created2026-04-22
Platformsbrowser, claude-code, codex, python
Est. Tokens~17k

About oh-story-claudecode

English | 中文 oh-story-claudecode 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、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。 核心思路 套路 = 确定性的情绪满足 专业作者的方法论三步走: 扫榜:分析热门榜单,洞察题材、人设、切入点。 拆文:拆解大纲节奏与剧情素材,建立个人模块库。 商业化写作:学习并运用钩子、爽感、期待感等核心技巧。 围绕四条线展开:爆款逆向 · 剧情模块化重组 · 上下文状态分层管理 · 人机协同。 v0.7.6 起:重点在正文那一段。写正文的 有三条规则一直在空转——「写完必须立即统计字数」给的是一条 Bash...

Compatible Skills

These tools work well together with oh-story-claudecode for enhanced workflows:

  • oh-story-claudecode — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • inkos — semantic(0.65)+complementary+rare_topics+similar_pop+shared_platform (67%)
  • awesome-novel-agent — semantic(0.59)+complementary+rare_topics+similar_pop+shared_platform (65%)

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How this security grade is produced

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:

View on GitHub → Browse Claude Skill tools