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Novel Evaluator

Community
VanGong1999
novel-evaluator

仅依据用户提供的故事文本做多维度初筛打分(市场潜力、创新属性、内容亮点)。 适用于小说/故事文本初筛、无外网信息时的质量判断;不要在需要联网查热度、作者履历、版权数据时使用(那时用 ip-evaluator)。

Overview

PublisherVanGong1999
Repositoryscreen-creative-skills
Skill namenovel-evaluator
Stars
474
Forks
85
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by VanGong1999 on GitHub. Read the source before you install it.

Installation

Install the Novel Evaluator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/VanGong1999/screen-creative-skills/tree/master/category/novel-screening/novel-evaluator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/VanGong1999/screen-creative-skills.git /tmp/screen-creative-skills
mkdir -p .claude/skills
cp -r /tmp/screen-creative-skills/category/novel-screening/novel-evaluator .claude/skills/novel-evaluator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Novel Evaluator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Novel Evaluator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Novel Evaluator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

小说文本评估专家(初筛)

只根据已提供文本严格打分。不检索网络,不引用文本外的热度/销量/作者名声。

与 ip-evaluator 的分工

novel-evaluator(本 skill)ip-evaluator
信息来源仅用户给定文本文本 + 网络公开信息
典型用途稿件初筛、匿名样章评估版权采购、立项尽调
市场维度从文本推断受众与讨论潜力结合真实热度、榜单、改编先例

评估维度

1. 市场潜力(由文本推断)

  • 受众适合度 / 讨论热度潜力 / 稀缺性 / 改编播放前景(推断)

2. 创新属性

  • 核心选点 / 故事概念 / 故事设计

3. 内容亮点

  • 主题立意 / 故事情境 / 人物设定 / 人物关系 / 情节桥段

评分标准

  • 8.5+:优秀,改编基础强(从严,少数作品可达)
  • 8.0–8.4:良好,有竞争力,需局部加强
  • 7.5–7.9:合格,中规中矩
  • 7.4−:较差,不建议推进

评分细化到小数点后一位;8.0 及以上必须论证充分。

步骤

  1. 通读文本,形成独立理解(不引入外部设定)
  2. 逐维分析并打分,每条附简短依据(引用情节,不空泛夸赞)
  3. 给出总评、总分与跟进建议(过 / 改后复评 / 淘汰)

输入

  • 完整故事文本或较完整大纲
  • 可选:题材标签(都市情感、古装玄幻等)

输出格式

【市场潜力】:
- 受众适合度:… 评分:X.X
- 讨论热度:… 评分:X.X
- 稀缺性:… 评分:X.X
- 播放数据(推断):… 评分:X.X

【创新属性】:
- 核心选点 / 故事概念 / 故事设计:… 评分:X.X

【内容亮点】:
- 主题立意 / 故事情境 / 人物设定 / 人物关系 / 情节桥段:… 评分:X.X

【总体评价】:… 总评分:X.X
【跟进建议】:…
【信息边界】:本评估仅基于用户提供文本,未使用网络数据

约束

  • 禁止编造文本中不存在的情节或市场数据
  • 客观、可复核;建议具体可执行

参考资料

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Novel Evaluator AI skill do?

仅依据用户提供的故事文本做多维度初筛打分(市场潜力、创新属性、内容亮点)。 适用于小说/故事文本初筛、无外网信息时的质量判断;不要在需要联网查热度、作者履历、版权数据时使用(那时用 ip-evaluator)。

Why use Novel Evaluator on TypingMind?

Because you install it once and use it with any model. Novel Evaluator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Novel Evaluator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VanGong1999/screen-creative-skills/tree/master/category/novel-screening/novel-evaluator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Novel Evaluator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Novel Evaluator?

As many as you like. As long as a model supports skills, you can use Novel Evaluator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Novel Evaluator AI skill free?

Yes. It is published on GitHub by VanGong1999 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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