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thesis-results-writer论文成果作者

Agent Skill

thesis-results-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。

总安装

734

周安装

30

GitHub Stars

公开资料未说明

下载量

238
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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-results-writer(论文成果作者)
来源仓库:https://github.com/junwugit/thesis-results-writer
安装命令:
openclaw skills install thesis-results-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-results-writer

简介

依据用户数据生成论文结果章节的学术化中文表述,突出研究发现。

  • 适用于已完成数据分析、需将结果转化为文字报告的研究者。
  • 支持按数量或类型组织结果,输出符合学术格式的结论描述。
  • 安装命令:openclaw skills install thesis-results-writer。
  • 使用前请确认数据来源可靠性,防止生成错误结论。

SKILL.md

name
thesis-results-writer
description
Write detailed, academically rigorous Chinese results chapters or results sections for theses, dissertations, and undergraduate papers from a user's quantitative data, tables, statistical outputs, research questions, hypotheses, qualitative themes, interview excerpts, case summaries, or extra information. Use when users ask to write, expand, polish, organize, or structure only the Results/Chapter Four/研究结果/结果分析/资料分析结果 section, including descriptive statistics, hypothesis testing, research-question results, tables, figures, additional analyses, qualitative themes, case results, and chapter summary.

Thesis Results Writer

Scope

Use this skill only to write the results part of a Chinese academic paper. The default output is a polished Chinese "第四章 研究结果" or "第四章 结果与分析" section.

Do not write the literature review, methodology, discussion, recommendations, or conclusion chapters. Results should report and organize findings objectively. Interpretation, comparison with previous studies, value judgments, and recommendations belong mainly in the discussion chapter.

Required Reference

Before drafting a full results chapter, read references/results-writing-guide.md. It contains quantitative and qualitative results structures, table/figure rules, research-question reporting steps, Chinese templates, and quality checks derived from the local 4result.txt source.

Input Extraction

Extract and use any information the user provides:

  • Thesis title, research type, research questions, hypotheses, and chapter format
  • Quantitative data: sample demographics, descriptive statistics, reliability results, t tests, ANOVA, chi-square, correlations, regressions, effect sizes, p values, tables, charts, software output
  • Qualitative data: themes, subthemes, codes, interview excerpts, participant IDs, case summaries, observation/document findings, cross-case results
  • Mixed methods: quantitative results, qualitative themes, and how they are organized by research question or phase
  • Additional analyses: demographic analyses, instrument analyses, post hoc analyses, assumption checks
  • School style requirements, table numbering, decimal rules, and word count

If the user does not provide actual results, do not fabricate numbers, tables, quotes, themes, or statistical significance. Provide a results-chapter skeleton with placeholders and instructions for where to insert real findings.

Research Type Decision

Infer the result type before writing:

  • Quantitative: statistics, p values, means, standard deviations, sample counts, tests, hypotheses, SPSS/R/Excel output.
  • Qualitative: themes, categories, codes, quotations, participants, cases, field notes, documents.
  • Mixed methods: both numeric results and qualitative themes.
  • Intervention-scheme design without implementation: do not call the scheme "results" unless the user's school expects a "方案设计结果" chapter; write the scheme output objectively and state no effectiveness results are available.
  • Literature review/systematic review: results are literature screening, study characteristics, theme synthesis, and evidence summary.

Drafting Workflow

  1. Identify the research type and the safest results structure.
  2. Start with a brief chapter introduction/advance organizer.
  3. For quantitative studies, report descriptive statistics first, then research questions or hypotheses one by one, then additional analyses if any.
  4. For qualitative studies, organize results by themes, subthemes, cases, participants, phases, or data sources, whichever best fits the data.
  5. For mixed methods, separate or integrate quantitative and qualitative findings by research question, and avoid discussing implications too early.
  6. Refer to every table/figure in the text before presenting it.
  7. State results plainly and consistently, with statistics at the end of sentences where readable.
  8. End with a chapter summary that synthesizes findings at a higher level and transitions to the discussion chapter.

Output Standards

For a full results chapter, include:

  • Research type and data availability note when needed
  • Complete Chinese draft with numbered headings
  • Tables or table placeholders when data are tabular
  • Objective reporting of findings, not discussion
  • Quantitative result statements aligned with each research question/hypothesis
  • Qualitative theme statements supported by short anonymized excerpts when supplied
  • Additional analyses only when the user provides or requests them
  • Chapter summary and transition to the next chapter

Quality requirements:

  • Do not invent data.
  • Do not interpret causes from correlations or cross-sectional results.
  • Do not repeat methodology in detail.
  • Do not cite literature unless the user specifically asks for a combined results-discussion chapter.
  • Keep sentence structures consistent for similar statistical tests.
  • Report non-significant results as clearly as significant results.
  • Preserve uncertainty and limitations for the discussion chapter.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.25%
按下载量换算227

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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