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Bzd Abstract Checker

Community
BZDmathclub
bzd-abstract-checker

Review a user-provided Chinese mathematical-modeling abstract without requiring the problem statement or full paper, identify concrete writing defects, and prioritize revisions. Use when the user asks to check, diagnose, or improve a modeling-paper abstract; do not claim coverage or factual consistency that cannot be verified without the problem or paper.

Overview

PublisherBZDmathclub
Repositorybzd-math-modeling-skills
Skill namebzd-abstract-checker
Stars
425
Forks
17
Bundled files
2
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 BZDmathclub on GitHub. Read the source before you install it.

Installation

Install the Bzd Abstract Checker 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/BZDmathclub/bzd-math-modeling-skills/tree/main/skills/论文自查类/bzd-abstract-checker
  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.

Use it in TypingMind

Enable Bzd Abstract Checker 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 Bzd Abstract Checker 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 Bzd Abstract Checker 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.

BZD Abstract Checker

Review only the abstract the user supplies. Do not require the competition problem, paper body, code, or results before beginning. Diagnose the existing text; do not silently rewrite it unless the user also asks for a revised abstract.

Read references/rubric.md before evaluating an abstract.

First gate: independent readability

Read the abstract as a researcher outside the paper's subject area. Determine whether the abstract, by itself, makes all three items reasonably clear:

  1. Problem: what concrete research task or decision problem is being solved;
  2. Method: what principal model or mathematical type is used and how it is solved;
  3. Result: what concrete result, ordering, prediction, optimum, error, performance measure, or actionable conclusion is obtained.

Also assess whether it appears capable of fitting within one A4 page. Text length is only a proxy because page fit depends on formatting. Treat roughly 800–1000 Chinese characters as guidance, not an absolute rule, unless the competition specifies otherwise.

If any of Problem, Method, or Result is substantially absent or unintelligible, begin with exactly this severity label:

⚠️ 严重警告:该摘要目前不能作为一篇可独立阅读的短文。

Then state which of the three essential elements is missing or unclear and why a non-specialist cannot reconstruct the study from the abstract. Do not soften a failed first gate merely because the prose is fluent.

If all three are identifiable, state:

✅ 独立阅读性:通过。

Passing this gate does not mean the abstract has no other problems.

Evidence discipline

  • Quote only short fragments from the supplied abstract as evidence.
  • Distinguish absent, present but vague, and clear.
  • Do not infer a model, result, innovation, validation, subproblem, or causal link that the abstract does not state.
  • With abstract-only input, mark these as 无法仅凭摘要核验 rather than defects: coverage of every original question, consistency with the paper body, truth of reported values, and whether a claimed innovation or test was actually performed.
  • Flag an internal contradiction when it is visible inside the abstract itself.
  • If the user supplies title or keywords alongside the abstract, review them; otherwise omit those sections rather than requesting them.

Required output

Use this order:

  1. 摘要独立性判定 — first-gate label plus a concise explanation.
  2. 问题清单 — a Markdown table with 优先级 | 位置/原文 | 问题 | 为什么影响评阅 | 修改方向. List concrete issues only. Use 严重 / 重要 / 一般.
  3. 逐项观察 — cover problem, method/model, algorithm versus software, quantitative results, conclusions, validation, innovation/limitations, structure/linkage, language, prohibited elements, and length/page risk. For each item use 清楚 / 不充分 / 缺失 / 无法核验 / 不适用.
  4. 最优先修改的3项 — actions with the greatest likely improvement, ordered.
  5. 摘要自查结论 — one compact paragraph describing the current level and the next revision target.

If there are no meaningful defects in a category, say so briefly; do not invent a criticism to fill the table. Do not output a numerical score unless the user explicitly asks for one.

Revision boundary

When the user asks to rewrite after the diagnosis, preserve every stated model, algorithm, number, and conclusion. Do not manufacture missing results. Use placeholders such as 【补充关键数值】 only when the user requests a template or revision draft.

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 Bzd Abstract Checker AI skill do?

Review a user-provided Chinese mathematical-modeling abstract without requiring the problem statement or full paper, identify concrete writing defects, and prioritize revisions. Use when the user asks to check, diagnose, or improve a modeling-paper abstract; do not claim coverage or factual consistency that cannot be verified without the problem or paper.

Why use Bzd Abstract Checker on TypingMind?

Because you install it once and use it with any model. Bzd Abstract Checker 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 Bzd Abstract Checker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BZDmathclub/bzd-math-modeling-skills/tree/main/skills/论文自查类/bzd-abstract-checker. 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 Bzd Abstract Checker?

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 Bzd Abstract Checker?

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

Is the Bzd Abstract Checker AI skill free?

It is published on GitHub by BZDmathclub. Check the repository for licensing terms. 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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