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nsfc-abstract

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Original

English
🇨🇳

Translation

Chinese

NSFC 中英文摘要生成器

NSFC Chinese-English Abstract Generator

目标：写出“评审一眼读懂”的五句式摘要，做到重要性、科学问题、可行性证据、研究内容、科学意义五个要素齐全；并输出与之一致的英文翻译。
Objective: Write a 5-sentence abstract that "reviewers can understand at a glance", covering all five elements: importance, scientific problem, feasibility evidence, research content, and scientific significance; and output an English translation consistent with it.

输入（先要信息，缺啥就问啥）

Input (Collect Information First, Ask for Missing Details)

优先让用户按信息表提供（见 
skills/nsfc-abstract/references/info_form.md
）。若用户只给了零散信息，先用 3-6 个问题补齐最关键缺口：
  • 你希望题目更偏“机制向 / 方法向 / 转化向 / 场景向”哪一类？（不确定可不选，默认给混合候选）
  • 研究对象/场景是什么？（疾病/材料/系统/任务）
  • 领域痛点与未解决的科学问题是什么？（一句话）
  • 你们的关键前期发现/预实验/数据点是什么？（1-2 条，可定量）
  • 拟验证的科学假说/核心判断是什么？（一句话）
  • 研究内容 3-4 点分别要做什么、用什么方法、得到什么可验证结果？
  • 预期科学意义/应用价值是什么？（避免空话）
Prioritize asking the user to provide information according to the information form (see 
skills/nsfc-abstract/references/info_form.md
). If the user only provides scattered information, use 3-6 questions to fill in the most critical gaps:
  • Which type do you prefer the title to lean towards: "mechanism-oriented / method-oriented / translational-oriented / scenario-oriented"? (You can skip if unsure; mixed candidates will be provided by default)
  • What is the research object/scenario? (Disease/material/system/task)
  • What are the field pain points and unsolved scientific problems? (One sentence)
  • What are your key preliminary findings/preliminary experiments/data points? (1-2 points, quantifiable if possible)
  • What is the scientific hypothesis/core judgment to be verified? (One sentence)
  • What will be done in each of the 3-4 research content points, what methods will be used, and what verifiable results will be obtained?
  • What is the expected scientific significance/application value? (Avoid empty statements)

输出要求（硬约束）

Output Requirements (Hard Constraints)

  • 必须同时给出中文与英文；英文是中文的忠实翻译（不扩写、不新增假设、不引入新结果）。
  • 必须给出标题建议：遵循 
    skills/nsfc-abstract/references/title-rules.md
    的“中标题目”结构偏好；至少包含： 
    • 推荐标题：...
    • 1) ... —— 理由：...
      （至少 5 条；数量以 
      config.yaml:title.title_candidates_default
      为准）
  • 中文摘要：默认 ≤ 400 字符（含标点）；推荐 5 句（以 
    config.yaml:limits.zh_recommended_sentences
    为准），每句 1 个功能。
  • 英文摘要：≤ 4000 字符（含标点）；语法正确、术语一致。
  • 不使用夸大/营销式表达（如“国际领先/填补空白/首创”），除非用户提供可核验依据且明确要求保留。
  • 不堆砌背景，不罗列方法学名词；每个方法名词必须服务于“要验证什么”。
  • Must provide both Chinese and English versions; the English version is a faithful translation of the Chinese version (no expansion, no new assumptions, no introduction of new results).
  • Must provide title suggestions: Follow the structural preferences of "winning titles" in 
    skills/nsfc-abstract/references/title-rules.md
    ; at least include: 
    • Recommended Title: ...
    • 1) ... —— Reason: ...
      (At least 5 items; quantity follows 
      config.yaml:title.title_candidates_default
      )
  • Chinese Abstract: Default limit ≤400 characters (including punctuation); recommended 5 sentences (follow 
    config.yaml:limits.zh_recommended_sentences
    ), each serving one function.
  • English Abstract: ≤4000 characters (including punctuation); grammatically correct, consistent terminology.
  • Do not use exaggerated/marketing expressions (such as "international leading/filling the gap/pioneering") unless the user provides verifiable evidence and explicitly requests to retain them.
  • Do not overstuff background or list methodological nouns; each methodological noun must serve the purpose of "what to verify".

推荐结构（五句式，默认采用）

Recommended Structure (5-Sentence Format, Default to Use)

  1. 重要性/背景：一句话说明对象的重要性与危害/瓶颈（不超过 1 句）。
  2. 科学问题：指出关键未知与当前不足（要具体到机制/指标/因果链的缺口）。
  3. 可行性证据：给出 1-2 条前期发现/预实验（尽量可定量），并顺势提出科学假说/核心判断。
  4. 研究内容（3-4 点）：用动词开头，写清“做什么→怎么做→要验证什么/得到什么判据”（点数默认以 
    config.yaml:limits.content_points_min/max
    为准）。
  5. 意义/价值：总结预期贡献（科学机制 + 方法/策略/应用潜力），与第 2 句的问题形成闭环。
  1. Importance/Background: One sentence explaining the importance of the object and its harms/bottlenecks (no more than one sentence).
  2. Scientific Problem: Point out key unknowns and current deficiencies (be specific to gaps in mechanisms/indicators/causal chains).
  3. Feasibility Evidence: Present 1-2 preliminary findings/preliminary experiments (try to be quantifiable), and propose the scientific hypothesis/core judgment accordingly.
  4. Research Content (3-4 Points): Start with verbs, clearly state "what to do → how to do it → what to verify/what criteria to obtain" (the number of points follows 
    config.yaml:limits.content_points_min/max
    by default).
  5. Significance/Value: Summarize expected contributions (scientific mechanism + method/strategy/application potential), forming a closed loop with the problem mentioned in sentence 2.

输出格式（便于粘贴与校验）

Output Format (Easy to Paste and Verify)

按如下格式写入 
NSFC-ABSTRACTS.md
（标题文本以 
config.yaml:output.zh_heading/en_heading
为准）。在末尾给出长度自检（字符数计数口径：把连续空白折叠为单个空格后计数，含标点）：
text
undefined
Write to 
NSFC-ABSTRACTS.md
in the following format (the title text follows 
config.yaml:output.zh_heading/en_heading
). Provide a length self-check at the end (character count rule: count after collapsing consecutive whitespaces into a single space, including punctuation):
text
undefined

标题建议

Title Suggestions

推荐标题：...
  1. ... —— 理由：...
  2. ... —— 理由：...
  3. ... —— 理由：...
  4. ... —— 理由：...
  5. ... —— 理由：...
Recommended Title: ...
  1. ... —— Reason: ...
  2. ... —— Reason: ...
  3. ... —— Reason: ...
  4. ... —— Reason: ...
  5. ... —— Reason: ...

中文摘要

Chinese Abstract

（正文）
(Main text)

English Abstract

English Abstract

(translation)
(translation)

长度自检

Length Self-Check

  • 中文摘要字符数：N/400
  • 英文摘要字符数：M/4000

写入文件后，在对话中**不要重复粘贴全文**（除非用户明确要求），只需回报：
- 写入的文件路径（默认 `./NSFC-ABSTRACTS.md`）
- 标题候选数量是否满足默认要求
- 中文/英文字符数与是否超限
  • Chinese abstract character count: N/400
  • English abstract character count: M/4000

After writing to the file, **do not paste the full text again in the conversation** (unless the user explicitly requests it), only report:
- The written file path (default `./NSFC-ABSTRACTS.md`)
- Whether the number of title candidates meets the default requirement
- Character counts of Chinese/English abstracts and whether they exceed the limit

字数超限处理（闭环，最多 3 轮）

Word Limit Exceedance Handling (Closed Loop, Maximum 3 Rounds)

当用户明确要求“中文≤400字符/英文≤4000字符”等硬约束时，必须走闭环：先检测，再压缩，再检测，合格后再写入。
  1. 先生成一个“可读但可能超限”的初稿（五句式要素齐全）。
  2. 用确定性脚本检测（必须用 
    --json
    ，让硬编码负责精确计数）： 
    • python3 skills/nsfc-abstract/scripts/validate_abstract.py - --json --diff --strict
    • 输入可通过 stdin（无需先写文件），或在写入 
      NSFC-ABSTRACTS.md
      后对文件校验。
  3. 若超限：按“压缩优先级”执行压缩，再回到步骤 2，最多 3 轮。
  4. 连续 3 轮仍超限：停止自动压缩，向用户说明当前超限数（ZH/EN exceeded），并请用户选择：
    • 允许删减某些信息（哪些可删）
    • 放宽字数上限（修改 
      config.yaml
      ）
    • 人工给出更短的关键信息摘要（例如只保留最关键 1 条证据 + 3 点研究内容）
When the user explicitly requests hard constraints such as "Chinese ≤400 characters / English ≤4000 characters", a closed loop must be followed: first detect, then compress, then detect again, and write only after passing the check.
  1. First generate a readable draft that may exceed the limit (with all 5-sentence elements included).
  2. Use a deterministic script for detection (must use 
    --json
    to let hard coding handle precise counting): 
    • python3 skills/nsfc-abstract/scripts/validate_abstract.py - --json --diff --strict
    • Input can be via stdin (no need to write to file first), or verify the file after writing to 
      NSFC-ABSTRACTS.md
      .
  3. If exceeding the limit: Perform compression according to the "compression priority", then return to step 2, maximum 3 rounds.
  4. If still exceeding after 3 consecutive rounds: Stop automatic compression, inform the user of the current excess count (ZH/EN exceeded), and ask the user to choose:
    • Allow deletion of certain information (which parts can be deleted)
    • Relax the word limit (modify 
      config.yaml
      )
    • Manually provide a shorter summary of key information (e.g., only retain the most critical 1 piece of evidence + 3 research content points)

压缩优先级（从上到下）

Compression Priority (Top to Bottom)

  • P0（必须保留）：研究对象/关键科学问题缺口/定量证据（若有）/核心方法名称/预期贡献闭环
  • P1（优先精简）：程度副词、形容词修饰、背景铺垫、“我们将/本研究”主语、过程性描述、“通过/采用”等介词短语、并列重复表达
  • P2（可删除）：空洞评价（无定量支撑的“显著/重要/领先”等）、重复句、与科学问题无关的背景
如需确定性写入/校验，可使用脚本：
  • 写入：
    python3 skills/nsfc-abstract/scripts/write_abstracts_md.py <input> --strict
  • 校验：
    python3 skills/nsfc-abstract/scripts/validate_abstract.py NSFC-ABSTRACTS.md --json --diff --strict
  • P0 (Must Retain): Research object/key scientific problem gap/quantitative evidence (if any)/core method name/closed-loop expected contribution
  • P1 (Prioritize Streamlining): Degree adverbs, adjective modifiers, background exposition, subjects like "we will/this research", procedural descriptions, prepositional phrases such as "through/adopt", parallel repetitive expressions
  • P2 (Can Be Deleted): Empty evaluations ("significant/important/leading" without quantitative support), repeated sentences, background unrelated to scientific problems
For deterministic writing/verification, you can use the scripts:
  • Write: 
    python3 skills/nsfc-abstract/scripts/write_abstracts_md.py <input> --strict
  • Verify: 
    python3 skills/nsfc-abstract/scripts/validate_abstract.py NSFC-ABSTRACTS.md --json --diff --strict