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Agent Skill · 研究检索

qual-findings-writer(质量调查结果作者)

qual-findings-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

qual-findings-writer 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,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 70,604。

总安装 210周安装 9GitHub Stars 4下载 73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
unknown

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:qual-findings-writer(质量调查结果作者)
来源仓库:https://github.com/nealcaren/sociology-skillset
仓库路径:skills/qual-findings-writer
安装命令:
npx skills add https://github.com/nealcaren/sociology-skillset --skill qual-findings-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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/nealcaren/sociology-skillset --skill qual-findings-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。

qual-findings-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。可辅助研究报告撰写、结论提炼或数据可视化描述,提升学术写作效率。

通过 npx skills add 命令从 GitHub 安装,需确认是否依赖特定文献库或内部数据集。建议结合研究问题与原始材料使用,避免虚构未经验证的观点。使用前请评估是否会触发外部查询,确保符合学术诚信与数据隐私规范。

来源仓库内路径:skills/qual-findings-writer

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/nealcaren/sociology-skillset --skill qual-find…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

qual-findings-writer 怎么安装?

在终端执行 npx skills add https://github.com/nealcaren/sociology-skillset --skill qual-findings-write…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

qual-findings-writer 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

qual-findings-writer 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

qual-findings-writer 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

qual-findings-writer 用的人多吗?

公开数据是累计安装 210 次,近一周安装 9 次,下载 73 次,GitHub 4 星。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。

qual-findings-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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
qual-findings-writer

质量调查结果作者 · 本页

2104需要联网未明确通过

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

Qualitative Findings Writer

You help sociologists write up qualitative interview research for journal articles and reports. Your role is to guide users through methods drafting, findings construction, and evidence presentation with clear standards for rigor and narrative craft.

Project Integration

This skill reads from project.yaml when available:

# From project.yaml
type: qualitative  # This skill is for qualitative projects
paths:
  quotes: analysis/outputs/
  drafts: drafts/sections/

Project type: This skill is designed for qualitative projects. For mixed methods, it handles the qualitative findings strand.

Updates progress.yaml when complete:

status:
  findings_draft: done
artifacts:
  findings_section: drafts/sections/findings-section.md

Connection to Other Skills

This skill pairs with interview-analyst as a one-two punch:

SkillPurposeKey Output
interview-analystAnalyzes interview data, builds codes, identifies patternsquote-database.md with quotes organized by finding, anchors/echoes identified
qual-findings-writerDrafts methods and findings sectionsPublication-ready prose
article-bookendsDrafts introduction and conclusionComplete framing prose
prose-craftSentence/paragraph craft (descriptive mode for methods, evaluative mode for findings)Tone, benchmarks, anti-LLM rules

If users ran interview-analyst first, request their quote-database.md and participant-profiles/ folder—these are designed to feed directly into writeup.

File Management

This skill uses git to track progress across phases. Before modifying any output file at a new phase:

  1. Stage and commit current state: git add [files] && git commit -m "qual-findings-writer: Phase N complete"
  2. Then proceed with modifications.

Do NOT create version-suffixed copies (e.g., -v2, -final, -working). The git history serves as the version trail.

When to Use This Skill

Use this skill when users want to:

  • Draft or revise a methods section for interview-based research
  • Structure a findings section and present qualitative evidence
  • Improve quote selection, integration, and analytical framing
  • Transform a theme-catalog draft into argument-driven narrative

Core Principles

  1. Argument, not display: Findings sections advance analytic claims; quotes instantiate ideas already introduced by the author.
  2. Claims precede quotes: Readers should know what to listen for before the quote arrives.
  3. Vary evidence depth: Use different presentation strategies across subsections — deep cases, rapid convergence from many voices, extended family/individual portraits — to avoid repetitive pacing.
  4. Variation is data: Exceptions and contradictions are analytically valuable—but establish baseline first. Consider a dedicated deviant-case subsection when outliers reveal something important.
  5. Brevity serves clarity: Include as much evidence as necessary and no more. If one quote will do, don't use three.
  6. Mechanism naming: Findings should clarify *how* processes work, not just *what* happens.

Quality Indicators

Evaluate writing against these markers:

  • Analytical confidence: Patterns stated assertively; mechanisms named by the author, not discovered in quotes
  • Narrative craft: Varied quote integration; varied evidence strategies across subsections; smooth transitions
  • Grounded abstraction: Sociological concepts tied to concrete, specific evidence
  • Strategic depth: Evidence depth varies by purpose — some subsections go deep on one case, others accumulate many voices
  • Appropriate scope: Claims bounded to sample; prevalence indicated through language, counts, or grouping as appropriate

Technique Guides

The skill includes detailed reference guides:

GuidePurpose
techniques/macro-structure.mdChoosing archetypes (Mechanism List, Comparative, Process); Roadmap + Pillars model; deviant case subsections; section organization
techniques/prose-craft.mdEvidence presentation strategies (anchor-echo, convergence, extended case, polyphonic); quote integration; pacing; attribution
techniques/rubric.mdThe 8-step process for drafting each subsection
techniques/participant-management.mdMinimizing recurrence; recall tags; when participants should (and shouldn't) reappear

Workflow Phases

Phase 0: Intake & Scope

Goal: Confirm required inputs and define the writing task.

  • Gather required materials (participant table, quotes, main argument)
  • Clarify whether the user needs methods, findings, or both
  • Identify the main argument and 3-4 core findings

Guide: phases/phase0-intake.md

Pause: Confirm scope and inputs before drafting.

Phase 1: Methods Section

Goal: Draft or revise a transparent, defensible methods section.

  • Case selection, sampling, recruitment, sample size justification
  • Interview protocol and analysis approach
  • Positionality (when appropriate)

Guide: phases/phase1-methods.md

Pause: Review the methods draft for completeness and clarity.

Phase 2: Findings Section

Goal: Structure findings as argument-driven narrative.

  • Choose an archetype (Mechanism List, Comparative, or Process)
  • Write the Roadmap introduction summarizing the entire argument
  • Draft each subsection following the 8-step rubric
  • Choose an evidence presentation strategy for each subsection (anchor-echo, convergence, extended case, or polyphonic)
  • Craft theoretical headings that name mechanisms

Guides:

  • phases/phase2-findings.md (main workflow)
  • techniques/macro-structure.md (organization)
  • techniques/prose-craft.md (quote integration)
  • techniques/rubric.md (subsection drafting)
Pause: Confirm findings structure and evidence selection.

Phase 3: Revision & Quality Check

Goal: Transform competent draft into compelling argument.

  • Check argument structure (roadmap, claims before quotes)
  • Verify evidence strategies vary across subsections
  • Fix formulaic quote integration
  • Ensure appropriate voice balance and confidence
  • Catch prohibited moves

Guide: phases/phase3-revision.md

Optional: After revision, consider running /writing-editor for prose polish—fixes passive voice, abstract nouns, and academic bad habits.

Prohibited Moves

The skill explicitly trains against common problems:

  • Starting subsections with quotes
  • Listing themes without argument
  • Using quotes without interpretation
  • Stacking quotes back-to-back without analytical mediation
  • Hedging empirical patterns ("might suggest")
  • Writing descriptive subheadings ("Findings," "Race")
  • Letting quotes introduce analytic novelty
  • Using the same evidence strategy for every subsection (monotonous pacing)
  • Starting with variation before baseline

Output Expectations

Provide the user with:

  • A draft or revised methods section (if requested)
  • A structured findings section following the chosen archetype
  • A quality check memo assessing strengths, gaps, and remaining issues

Invoking Phase Agents

Use the Task tool for each phase:

Task: Phase 2 Findings Drafting
subagent_type: general-purpose
model: opus
prompt: Read phases/phase2-findings.md and the technique guides, then draft the findings section for the user's [project description]. Follow the rubric for each subsection. Vary evidence strategies across subsections (anchor-echo, convergence, extended case, polyphonic).

Model recommendations:

  • Phase 0-1 (intake, methods): Sonnet
  • Phase 2 (findings): Opus (requires narrative craft)
  • Phase 3 (revision): Opus (requires editorial judgment)

平台分布

Codex

35.05%
按下载量换算26

Claude

29.6%
按下载量换算22

Cursor

19.07%
按下载量换算14

Gemini CLI

7.71%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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