Token导航 LogoToken导航

Agent Skill · 研究检索

thesis-discussion-writer(论文讨论作者)

thesis-discussion-writer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

thesis-discussion-writer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 39,432。

总安装 1,416周安装 59GitHub Stars 公开资料未说明下载 472核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:thesis-discussion-writer(论文讨论作者)
来源仓库:https://github.com/junwugit/thesis-discussion-writer
安装命令:
openclaw skills install thesis-discussion-writer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install thesis-discussion-writer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

撰写中文学术论文讨论章节的专业辅助工具。适用于 OpenClaw 中的学位论文与研究写作。通过 clawhub 安装,支持严谨学术表达。聚焦研究局限、对比分析与未来展望。thesis-discussion-writer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。使用时请确保引用规范与原创性声明合规。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install thesis-discussion-writer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

thesis-discussion-writer 怎么安装?

在终端执行 openclaw skills install thesis-discussion-writer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

thesis-discussion-writer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

thesis-discussion-writer 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

thesis-discussion-writer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

thesis-discussion-writer 用的人多吗?

公开数据是累计安装 1,416 次,近一周安装 59 次,下载 472 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

thesis-discussion-writer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
thesis-discussion-writer

论文讨论作者 · 本页

1,416—只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
thesis-discussion-writer
description
Write detailed, academically rigorous Chinese discussion chapters or discussion sections for theses, dissertations, and undergraduate papers from a user's findings, research questions, hypotheses, themes, theoretical framework, literature review, limitations, implications, and extra information. Use when users ask to write, expand, polish, organize, or structure only the Discussion/Chapter Five/第五章讨论/总结与讨论/讨论与结论 section, including summary of the study, discussion of findings, theoretical and literature interpretation, unexpected results, practical implications, recommendations for future research, and conclusions.

Thesis Discussion Writer

Scope

Use this skill only to write the discussion part of a Chinese academic paper. The default output is a polished Chinese "第五章 讨论" or "第五章 总结、讨论与结论" section.

Do not write new results, methodology, literature review, questionnaire design, or full thesis chapters outside the discussion scope. The discussion chapter interprets results already reported elsewhere; it should not introduce new data, new statistical analyses, new interview excerpts, or unsupported conclusions.

Required Reference

Before drafting a full discussion chapter, read references/discussion-writing-guide.md. It contains chapter structures, finding-by-finding discussion rules, theory/literature integration patterns, implications, recommendations, conclusions, Chinese templates, and quality checks derived from the local 5discussion.txt source.

Input Extraction

Extract and use any information the user provides:

  • Thesis title, discipline, research problem, purpose, and chapter naming requirement
  • Research questions, hypotheses, variables, qualitative themes, cases, or mixed-methods strands
  • Main findings from the Results chapter, including significant and non-significant results
  • Theoretical framework, conceptual model, or epistemological framework
  • Prior studies or literature review points that should be compared with the findings
  • Method design, sample, instruments, data sources, and analysis limitations
  • Unexpected findings, possible explanations, confounding factors, mediators, or contextual factors
  • Practical audience: students, teachers, counselors, parents, managers, policymakers, institutions, or researchers
  • School requirements for sections such as "研究总结", "结果讨论", "实践启示", "研究不足与展望", and "结论"

If the user has not provided actual findings, do not invent conclusions, implications, literature comparisons, or recommendations. Provide a discussion-chapter framework with placeholders and a list of exact materials needed.

Discussion Type Decision

Infer the best discussion pattern before writing:

  • Quantitative: discuss each research question, hypothesis, variable, relationship, group difference, regression model, or non-significant result in the same order as the Results chapter.
  • Qualitative: discuss themes, cases, participant experiences, cross-case patterns, theoretical insights, and transferability while staying close to the qualitative data.
  • Mixed methods: discuss quantitative and qualitative findings separately or integrate them by research question, explaining convergence, divergence, and complementarity.
  • Literature review/systematic review: discuss evidence patterns, conceptual contributions, literature gaps, methodological limitations, and implications for future research.
  • Intervention-scheme design without implementation: discuss theoretical rationale, feasibility, expected application value, risk controls, evaluation plan, and limitations; do not claim effectiveness.

Drafting Workflow

  1. Identify the study type and the chapter format expected by the user's school.
  2. Start with a brief introduction/advance organizer for the discussion chapter.
  3. Summarize the study briefly: problem, purpose, framework, research questions/method, and major findings.
  4. Discuss findings one by one, following the same order as the Results chapter.
  5. For each finding, explain what it means, connect it to theory and literature, and state whether it supports, contradicts, or extends existing knowledge.
  6. Explain unexpected or weak results through sampling, instrumentation, research design, context, or unmeasured variables when evidence permits.
  7. Derive practical implications directly from findings and match them to concrete stakeholders.
  8. Derive future research recommendations from findings, limitations, unanswered questions, and methodological constraints.
  9. End with conclusions that make defensible assertions based on the findings, without adding new data.

Output Standards

For a full discussion chapter, include:

  • Complete Chinese draft with numbered headings
  • A short study summary when the requested chapter includes it
  • Finding-by-finding discussion organized by research question, hypothesis, variable, theme, case, or model
  • Integration with theory and literature when the user supplies enough context
  • Explanation of unexpected findings and plausible limitations when relevant
  • Practical implications grounded in results
  • Recommendations for future research grounded in results and limitations
  • Conclusions that synthesize the whole study

Quality requirements:

  • Stay close to the data.
  • Do not overgeneralize beyond the sample, data source, method, or design.
  • Do not repeat technical statistics already reported in the Results chapter unless needed for clarity.
  • Do not turn recommendations into unsupported claims.
  • Do not write implications that are broader than the findings can support.
  • Do not introduce new analyses or new evidence in the Discussion chapter.
  • Preserve limitations and uncertainty instead of forcing strong conclusions.

平台分布

OpenClaw

70.44%
按下载量换算332

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills