story-long-scan SKILL.md skillA
story-long-scan from uu201/character-arc is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add uu201/character-arc/story-long-scan@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- uu201/character-arc
- Path
resources/skills/oh-story-claudecode/story-long-scan/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Jun 12, 2026
- First version recorded
- May 27, 2026
- Size
- 15,641 bytes
- Repository stars
- 590
- License
- MIT
长篇网文扫榜。分析起点、番茄、晋江等平台排行榜数据，提炼市场趋势与热门题材。 触发方式：/story-long-scan、/长篇扫榜、「长篇什么火」「起点排行」.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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：单本排名不是结论，跨样本重复模式才是信号。** 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：扫榜不是看排名，是看模式 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 --- ### Phase 1.5：确定数据来源 **扫榜需要真实数据支撑。** 根据当前环境选择数据来源： | 优先级 | 模式 | 说明 | 何时用 | |--------|------|------|--------| | 1 | **脚本采集** | 直接抓取平台页面/SSR 数据，产出结构化文件 | 优先；起点默认不需要 Chrome | | 2 | **用户提供** | 用户粘贴榜单截图/文字/链接 | 用户已有数据时 | | 3 | **内置知识** | 基于知识库趋势数据做分析 | 无法联网、用户无数据时 | #### 脚本采集模式 优先运行对应平台脚本直接采集结构化数据。起点使用移动端 SSR pageContext，默认不需要 Chrome/CDP；番茄等需要浏览器态的平台再使用 `/browser-cdp` 启动 Chrome。 **采集流程**： 1. 选择平台脚本；起点直接运行 `scripts/qidian-rank-scraper.js`，番茄/七猫/晋江等按需启动 browser-cdp 2. 等待列表元素或 SSR 数据加载，逐条提取字段（排名、书名、作者、题材、字数、推荐/在读数等） 3. 需要补充数据时（标签、简介、最新更新），进入详情页提取 4. 按规范格式写入 Markdown 文件 5. 多榜单/多题材时，逐组采集并保存 …
Read the whole file at its exact version.
How to install
mdr add uu201/character-arc/story-long-scan@sha256:5263cfcf2b991c30The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_upyo37id24tgcrwb)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between May 27, 2026 and Jun 12, 2026, about one every 16 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-06-12 | 364daa3 | 15,641 B | A | view · diff |
| v1.0.0 | 2026-05-27 | 20655b7 | 13,040 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15641 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
uu201/character-arc · 590 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_upyo37id24tgcrwb GET https://markdownregistry.com/api/v1/resolve?ref=uu201/character-arc/story-long-scan GET https://markdownregistry.com/api/v1/blob/5263cfcf2b991c30c220fae3937425530397d8997aa007cbfa01b0d5a3c38953
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from uu201/character-arc
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