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Sdt Benchmark

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StopDisTrain
sdt-benchmark

从公开内容中筛选真正值得学习、能够迁移的对标样本，并排除名人效应、粉丝体量和独特资源造成的假象。用户要找低粉爆款、垂直对标、邻近受众样本或跨赛道灵感时使用。 English: Find public benchmark content that is genuinely learnable and transferable while filtering out celebrity effects, follower-size bias, and unique-resource noise. Use for low-follower breakout posts, niche benchmarks, adjacent audiences, or cross-category inspiration.

Overview

PublisherStopDisTrain
Repositorysdt-skills
Skill namesdt-benchmark
Stars
283
Forks
0
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Sdt Benchmark 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/StopDisTrain/sdt-skills/tree/main/skills/sdt-benchmark
  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/StopDisTrain/sdt-skills.git /tmp/sdt-skills
mkdir -p .claude/skills
cp -r /tmp/sdt-skills/skills/sdt-benchmark .claude/skills/sdt-benchmark
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sdt Benchmark 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 Sdt Benchmark 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 Sdt Benchmark 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.

SDT 对标筛选

同时检查“是否看懂、是否可模仿、主体差异是否构成噪音”和单条内容的相对爆发证据。账号商业对标与单条内容对标使用不同标准，不把粉丝多等同于值得模仿。

五项过滤

  1. 证据：链接、作者、时间和指标是否可核对。
  2. 相对表现：相对作者自身近期基线是否异常。
  3. 主体差异：明星、新闻、独家资源或投流是否承担了主要结果。
  4. 机制可懂：能否说清哪种情绪、信息或叙事结构在起作用。
  5. 执行可仿：目标账号能否用真实资源重建机制，而不是复制表面。

三条来源线

  • 垂直：同品类、同场景或同主题。
  • 邻近：受众处境、人物身份或消费动机相似。
  • 跨域：主题不同，但承重情绪和传播结构可迁移。

完整选题研究默认收集 6 条垂直、6 条邻近、8 条跨域候选；数据不足时如实缩减。

低粉爆款判定

优先使用：

viral_multiplier = note_likes / creator_recent_median_likes

正式对标视频先过绝对门槛：可见点赞数必须大于等于 3,000。点赞数小于 3,000、点赞不可见的视频不得进入正式对标池，最多标记为“灵感样本”。

通过绝对门槛后，主样本建议同时满足：

  • 发布时间在约定范围内
  • viral_multiplier 不低于 3
  • 作者粉丝约为目标账号的 0.3–3 倍
  • 收藏、评论或分享代理信号至少一项异常
  • 承重机制可以在目标账号的真实资源内重建

跨域样本可放宽粉丝带，但必须提高迁移性审查。明星、重大新闻、昂贵独家资源、一次性奇观、不可核实结果和纯投流样本降级或剔除。

输出

逐条标记：

  • 来源线
  • 数据完整度
  • 相对爆发证据
  • 主体差异
  • 可复制元素
  • 不可复制元素
  • 是否进入 sdt-spread

不要因为设置了 3,000 点赞硬门槛就只按点赞绝对值排序；过门槛后仍按相对爆发、主体差异和可迁移性筛选。

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 Sdt Benchmark AI skill do?

从公开内容中筛选真正值得学习、能够迁移的对标样本，并排除名人效应、粉丝体量和独特资源造成的假象。用户要找低粉爆款、垂直对标、邻近受众样本或跨赛道灵感时使用。 English: Find public benchmark content that is genuinely learnable and transferable while filtering out celebrity effects, follower-size bias, and unique-resource noise. Use for low-follower breakout posts, niche benchmarks, adjacent audiences, or cross-category inspiration.

Why use Sdt Benchmark on TypingMind?

Because you install it once and use it with any model. Sdt Benchmark 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 Sdt Benchmark in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/StopDisTrain/sdt-skills/tree/main/skills/sdt-benchmark. 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 Sdt Benchmark?

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 Sdt Benchmark?

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

Is the Sdt Benchmark AI skill free?

Yes. It is published on GitHub by StopDisTrain 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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