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Shortstory Review

Community
ricky-theseus
shortstory-review

短中篇双路盲审。硬规则(agent 按工艺约束逐条检查)+ 软规则(对比参考文语感)。子 agent 输出合并报告。

Overview

Publisherricky-theseus
RepositoryDaisyWriter
Skill nameshortstory-review
Stars
77
Forks
5
Bundled files
2
LicenseGPL-3.0
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 ricky-theseus on GitHub. Read the source before you install it.

Installation

Install the Shortstory Review 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/ricky-theseus/DaisyWriter/tree/master/skills/shortstory/review
  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/ricky-theseus/DaisyWriter.git /tmp/DaisyWriter
mkdir -p .claude/skills
cp -r /tmp/DaisyWriter/skills/shortstory/review .claude/skills/shortstory-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shortstory Review 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 Shortstory Review 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 Shortstory Review 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.

短中篇 · 双路盲审

入口

主 agent 传入参数:正文路径、项目路径。

审前 Read 项目配置:

bash
Read {项目路径}/工艺约束.md
Read {项目路径}/章节规划.md

工艺约束.md 标注了平台、对话符号、字数门禁等格式规则。 不读 config.json,项目里没有这个文件。

第一路:硬规则审查

Read 工艺约束.md 中的格式约束,逐条对照正文检查:

检查项阻断条件
场景字数任一场景 <400 或 >800
段落句数任一段落 >2 句号
对话符号与工艺约束不一致
禁用词出现即阻断
角括号出现即阻断
章节号正文出现"第N章"
标记文字出现 [试读 等标记
导语格式无导语或导语>6句

可用 check.py 辅助机械检查:

bash
python <skill_dir>/../shortstory-write/check.py {正文.md路径}

有阻断 → 只输出硬规则结果,不进入软规则。

第二路:软规则审查

扫描 短篇/参考书/{类型}/,读 2-3 篇参考文前 1000-2000 字。 如果目录不存在,跳过软审查。

维度/10说明
语感一致性/10和参考文的语气/节奏/用词倾向是否接近
自然度/10有没有机器拆段式短句堆叠、生硬句式
段落节奏/10是否该长则长该短则短,不机械
整体阅读感/10"读小说的感觉"到了没有

任一维度 <6 → 阻断,给出修改建议。

存盘

审查报告写入 {项目路径}/审查报告/ 目录。

bash
# 创建目录(如不存在)
New-Item -ItemType Directory -Path {项目路径}/审查报告 -Force

# 单次审查写入
Write {项目路径}/审查报告/第{章号}章_审查报告.json

文件名格式:第{章号}章_审查报告.json。全篇终审用 终审_审查报告.json。

输出格式

json
{
  "chapter": 1,
  "hard": {"passed": true/false, "issues": []},
  "soft": {
    "passed": true/false,
    "scores": {"语感一致性": 0, "自然度": 0, "段落节奏": 0, "整体阅读感": 0},
    "suggestions": []
  },
  "overall": "pass / revise / blocked"
}

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 Shortstory Review AI skill do?

短中篇双路盲审。硬规则(agent 按工艺约束逐条检查)+ 软规则(对比参考文语感)。子 agent 输出合并报告。

Why use Shortstory Review on TypingMind?

Because you install it once and use it with any model. Shortstory Review 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 Shortstory Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ricky-theseus/DaisyWriter/tree/master/skills/shortstory/review. 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 Shortstory Review?

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 Shortstory Review?

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

Is the Shortstory Review AI skill free?

Yes. It is published on GitHub by ricky-theseus under the GPL-3.0 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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