OH Story — All-in-One Skill Pack for Chinese Web Fiction
Covers trend scanning, story breakdown, writing, de-AI-ifying, and cover art for Chinese web novels, adapted for multiple AI coding tools.
Evidence shows: least privilege is respected, hooks are mostly non-blocking, dashboard listens on 127.0.0.1, data not uploaded; user confirmation: installation requires user action, deployment requires /story-setup, hooks require trust; data flow transparency: README clearly describes data flow, dashboard local; sensitive data handling: novel content not uploaded, but API key handling not specified; dependency security: few dependencies, but no audit; external effects: hooks modify project files, but require deployment; rollback: UPGRADING.md provides migration, but no automatic rollback; source attribution: README acknowledges third-party tools, but not all sources. Deductions: sensitive data handling and dependency security insufficient, rollback only documentation.
Evidence shows: internal consistency good, README matches skills; dependency availability: few dependencies, but no lock file; failure messages: README mentions Windows install errors, but no comprehensive error handling docs. Deductions: dependency locking and error handling docs insufficient.
Evidence shows: clear target users (web fiction authors), scenarios cover long/short full workflow; capability boundaries: README describes each skill, but no explicit limits; trigger precision: multiple trigger methods, but no conflict handling; environment fit: supports multiple CLIs and platforms, with adaptation notes. Deductions: capability boundaries and trigger conflict handling insufficient.
Evidence shows: clear information architecture, README has full TOC; install notes detailed, multiple methods; naming stability: skill names consistent, but no naming convention; examples and FAQ: demos and common issues; known limitations: some platform limitations mentioned, but not comprehensive; license: MIT clear; versioning and changelog: CHANGELOG.md and version notes; maintenance responsibility: maintainer not specified. Deductions: naming convention, known limitations, maintenance responsibility insufficient.
Evidence shows: high output usability, structured outputs and demos; marginal value: complete writing workflow, clear value; cost benefit: free and open source, but requires environment setup. Deductions: cost benefit not quantified.
Evidence shows: claims traceable, demos and docs; cross-source corroboration: external tools referenced, but no independent verification; fact/inference separation: README distinguishes facts and inferences. Deductions: cross-source corroboration insufficient.
- Publisher identity unverified; review code before installation.
- Hooks modify project files; back up before deployment.
- Dependencies not locked; supply chain risk.
- Sensitive data handling unclear; avoid storing secrets in project.
What does this agent do, and when should you use it?
oh-story-claudecode is a skill pack for Chinese web fiction writing, including 13 skills covering long-form and short-form workflows: market trend scanning, story breakdown, drafting, AI-flavor removal, and cover generation, plus reverse-importing existing novels into a writable project. It orchestrates 7 specialized agents (story-architect, narrative-writer, consistency-checker, etc.) and 8 automated hooks for session management, outline guarding, and post-write checks. The pack uses a file-system-based project structure for settings, outlines, prose, and tracking state, and supports Claude Code, OpenCode, ZCode, OpenClaw, Codex CLI, and Reasonix, with solo fallback for environments without custom agents. Its core methodology breaks down writing into trendy-scanning, breakdown, and commercial writing, emphasizing emotional satisfaction and modular reuse.
Executes trend scans (story-long-scan/story-short-scan) for platforms like Qidian, Tomato, Zhihu; analyzes stories (story-long-analyze/story-short-analyze) to output structured breakdowns with plot nodes, emotional modules, and writing techniques; writes chapters (story-long-write/story-short-write) based on outlines and comparator books, using a single-authority tracking state for continuity; removes AI flavor (story-deslop) via linting and external detection; imports existing novels (story-import) by reverse-engineering outlines, settings, and tracking; generates covers (story-cover) via GPT-Image-2; reviews (story-review) with multi-agent scoring. All skills trigger via natural language or slash commands, deposit configuration into project .claude/agents/ or .codex/agents/, and use hooks to enforce outline-before-prose workflow.
- Long-form web novelists: deploy via story-setup, scan trends with story-long-scan, break down comparator books with story-long-analyze, and write chapters with story-long-write.
- Short-form creators: use story-short-scan for hot topics, story-short-analyze for viral breakdowns, and story-short-write for new drafts.
- Authors with existing serials: reverse-import published chapters with story-import to continue seamlessly.
- Writers seeking to de-AI their text: apply story-deslop for deterministic lint and external detection.
- Authors needing cover art: generate covers with story-cover.
- Users on Codex, OpenCode, or other CLIs: deploy with $story-setup and use skills accordingly.
What are this agent's strengths and limitations?
- Comprehensive workflow coverage from trend scanning to cover generation, reducing tool-switching overhead.
- Modular breakdown and comparator learning lets you reuse proven patterns.
- Multi-platform support with natural language and slash command triggers.
- File-system-based state management enables audit trails and version control.
- Specialized agent roles (architect, writer, consistency checker) streamline complex writing tasks.
- Deployment varies by CLI; some platforms (e.g., ZCode 3.3.4) lack custom agent support, degrading functionality.
- Updates require re-running /story-setup and starting a new session, which can be disruptive.
- Features like browser-cdp rely on network and may hit anti-scraping measures.
- Documentation and examples are primarily in Chinese, which may hinder non-Chinese speakers.
How do you install or deploy this agent?
Option 1: Tell your AI coding tool 'Install this skill https://github.com/worldwonderer/oh-story-claudecode'. Option 2: Run npx skills add worldwonderer/oh-story-claudecode -y -g for global install (omit -g for current directory). Repeat the same command to upgrade. If Windows shows ENOENT but ends with 'Done!', rerun the command to fix.
How do you use this agent?
After installation, run /story-setup (or $story-setup) in your writing project root to deploy hooks, agents, and AGENTS.md, then start a new session. Use slash commands like /story-long-write or natural language phrases like '帮我开书' to trigger skills. For existing novels, run /story-import first. Content stays local; the dashboard only listens on 127.0.0.1.
How does this agent compare with similar options?
No explicit competitors are named in the source. Compared to generic writing assistants or pure prompt templates, this pack offers structured breakdown and project-level engineering.