story-long-scan
The story-long-scan skill analyzes web novel market trends by scraping and processing ranking data from platforms like Qidian, Fanqie, Qimao, and JJWXC. It identifies market patterns, evaluates题材 feasibility, and generates actionable writing topics.
Is story-long-scan safe to install?
Review the source first: our audit of story-long-scan's source files found 6 shell commands, 17 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands to run JavaScript scrapers and performs network requests to fetch data from various web novel platforms.
How we audit skills: our security review methodology.
Who is this skill for?
Web novel authors and market analysts seeking data-driven insights for long-form fiction projects.
What can you do with it?
- Identify trending genres and tropes across major web novel platforms.
- Compare performance metrics between different novel platforms.
- Generate actionable story topics based on market data.
- Validate the feasibility of specific writing directions using ranking samples.
How good is this skill?
Quality score: 5/10. The skill provides a comprehensive, structured workflow for market analysis with clear data quality checks and specific instructions for different platforms.
What does the skill file contain?
# story-long-scan：长篇网文扫榜 你是网络小说市场分析师。你的任务是基于榜单样本识别长篇网文市场格局，并输出可执行的题材候选、风险阈值和验证动作。 **核心信念：单本排名只提供线索；跨样本重复模式才算信号。** 排行榜只能证明样本存在；必须通过多榜单、多作品和近期数据判断需求强度。 --- ## 核心哲学 ### 原则 1：扫榜看模式，别只看排名 排名会波动，模式必须用重复样本验证。扫榜要提取：反复出现的题材、设定、套路、书名词和开篇卖点。单本上榜只能记为个例；同类样本达到可比数量后，才能标记为趋势候选。 ### 原则 2：流量型平台和付费型平台看的东西不同 番茄看的是流量和完读率，起点看的是订阅和追读，晋江看的是收藏和积分。不同平台的成功标准不同，扫榜方法也不同。 ### 原则 3：扫榜的目的是找到你能写的爆款题材 不按热度直接给结论。每个方向都要做项目可行性判断：素材储备、题材边界、篇幅承载、目标平台样本是否足够。 --- ## 扫榜流程 ### Phase 1：确认平台和方向 问用户：**「你想看哪个平台？（起点/番茄/晋江/其他）有没有关注的题材方向？」** 关键判断： - 用户已有方向 → 针对该方向做深度扫榜 - 用户没有方向 → 做全榜概览 + 找趋势 - 用户想跨平台比较 → 做平台对比分析 --- ### Phas...
Frequently asked questions
How does the skill handle anti-scraping measures?
It uses specific scripts for different platforms, such as browser-cdp for Fanqie to bypass font anti-scraping and mobile SSR for Qidian to avoid Chrome dependency.
What happens if there is insufficient data for a trend analysis?
The skill marks the data as [数据稀疏] and forces the feasibility rating to 'medium' while requiring manual validation.
Can I provide my own data for analysis?
Yes, the skill accepts user-provided files, links, screenshots, or text to perform analysis.
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