Home / krillinai / opencreator · packages/writing-templates/templates/community/research-paper-writing/skill/SKILL.md · GitHub

skill skillC

skill is agent-read markdown (skill) from krillinai/opencreator.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Research Paper Writing

本模板接入自 `Master-cai/Research-Paper-Writing-Skills`,用于提升科研论文和学术内容的章节结构、段落流畅性、论点证据对齐及审稿人可读性。上游说明其大部分写作知识与方法来自彭思达教授公开的学习笔记和 `pengsida/learning_research`;本模板保留该归属,并将方法适配到 OpenCreator 的写作流程。

## 核心工作流

1. 在润色句子前先明确完整的研究故事:任务、技术问题、贡献、为什么有效,以及需要哪些证据。
2. 为文章建立紧凑提纲,确保每一节都服务于主问题,每一段只传递一个信息。
3. 每段首句说明该段作用,后续句子通过因果、对比、结果、细化或例子自然衔接。
4. 新术语先定义再复用,全文保持术语、符号和概念边界一致。
5. 摘要和引言中的每个重要主张都必须对应实验、数据或来源证据;没有证据时减弱或删除主张。
6. 完成章节后执行反向提纲,再以怀疑性的审稿人视角做终审。

## 提纲组织

根据写作目标选择需要的章节,不为凑结构强行加入无关部分。

- 摘要:任务,技术挑战,洞见或贡献,贡献带来的优势,实验结果。
- 引言:任务与应用,已有方法及其真正局限,本文方案与为什么有效,贡献,实验概览。
- 相关工作:按技术主题分组,概括共同范式,指出与目标问题相关的局限,并说明本文差异。
- 方法:先给设置和总体方案;每个模块按动机、设计或执行过程、技术优势展开。
- 实验:用强基线证明效果,用消融验证关键设计,用困难或分布外场景说明泛化和边界。
- 结论:重述问题与核心洞见,总结最强证据,坦诚说明适用边界,并给出具体未来方向。

## 段落与论证

每段只承担一种角色,例如定义任务、提出挑战、解释技术原因、描述方法、陈述优势、提供证据或说明局限。段首句应让外部读者立刻理解该段要做什么。

写完后做反向提纲:列出全文主张、各段主题句和各段证据,逐项检查“主题句是否支持主张、证据是否支持主题句”。不能清晰对应的段落应修改、移动或删除。

不要把工作写成“先提出一个幼稚方案,再打补丁”的增量叙事,也不要只堆抽象洞见而隐藏实际方法。清楚说明真正的技术挑战、技术原因、解决机制和可验证优势。

## 来源与真实性

只能使用用户或内容来源中存在的论文、数据、实验、基线、指标、引语和结论。无法验证的信息必须标记为待补充,不得自动编造引用或数值。区分事实、作者主张、实验观察和写作者推断。

## 输出要求

成稿应具有清晰章节和稳定术语。对主要论点,在写作过程中维护“论点、证据、状态”的对应关系;证据不足的状态只能是“需要证据”,不能用更强措辞掩盖缺口。最终正文不必附带内部检查过程,除非用户明确要求。

Read the whole file at its exact version.

How to install

Latest version
mdr add krillinai/opencreator/skill@git:20260909.5c7320f
Exact content
mdr add krillinai/opencreator/skill@sha256:8111dc34ef5c4e1d

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_fjl7o44qmet7wcy2.svg)](https://markdownregistry.com/a/art_fjl7o44qmet7wcy2)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260909.5c7320f latest2026-09-09 5c7320f 3,139 BC view

Audit of the latest version

C  14 of 17 checks passed. Deterministic, no model, same answer every run.
  • fail: Frontmatter block present
  • fail: Frontmatter declares a name
  • fail: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3139 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

krillinai/opencreator · 12,250 stars · license Apache-2.0 · pushed 2026-09-23 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_fjl7o44qmet7wcy2
GET https://markdownregistry.com/api/v1/resolve?ref=krillinai/opencreator/skill
GET https://markdownregistry.com/api/v1/blob/8111dc34ef5c4e1d5f3f996898f9ea63f8b70eaa2a6295aef5cddf74e091b4ec

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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