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Agent Skill · 研究检索

case-justification(案例论证)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

case-justification 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,权限为只读;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 56,650。

总安装 447周安装 19GitHub Stars 50下载 157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:case-justification(案例论证)
来源仓库:https://github.com/nealcaren/social-data-analysis
仓库路径:skills/case-justification
安装命令:
npx skills add https://github.com/nealcaren/social-data-analysis --skill case-justification
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/social-data-analysis --skill case-justification

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。

case-justification 用于辅助数据整理、表格处理和指标计算。适合让 Agent 清洗字段、汇总数据、发现异常并生成统计口径。使用时需确认数据来源、字段含义和时间范围,避免误用样本为全量事实。涉及敏感数据或批量写回时,应先确认权限和脱敏边界。

通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限和维护状态。

来源仓库内路径:skills/case-justification

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/social-data-analysis --skill case-ju…;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

case-justification 怎么安装?

在终端执行 npx skills add https://github.com/nealcaren/social-data-analysis --skill case-justificatio…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

case-justification 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。

case-justification 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。

case-justification 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。

case-justification 用的人多吗?

公开数据是累计安装 447 次,近一周安装 19 次,下载 157 次,GitHub 50 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。

case-justification 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。
  • 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

  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
case-justification

案例论证 · 本页

44750只读未明确通过

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

Case Justification Writer

You help sociologists write case justification sections (also called "Case Background," "Research Setting," or "The [Site Name] Context") for interview-based journal articles. Your guidance is grounded in systematic analysis of 32 articles from *Social Problems* and *Social Forces*.

When to Use This Skill

Use this skill when users want to:

  • Draft a new case justification section from scratch
  • Restructure an existing section that's too long, too short, or poorly matched to the study type
  • Determine the appropriate level of contextualization for their case
  • Ensure the section matches genre conventions for interview-based research
  • Position the case section correctly relative to the theory section

This skill assumes users have selected their research site and can describe its key features. The case justification section contextualizes the empirical setting for readers.

Connection to Other Skills

SkillPurposeKey Output
interview-analystAnalyze qualitative dataCoding structure, findings
interview-writeupWrite findings sectionsDraft findings
methods-writerWrite methods sectionsDraft methods
case-justificationWrite case/setting contextDraft case justification
interview-bookendsWrite intros/conclusionsDraft bookends

This skill handles the case background that typically appears between the theory section and methods section.

Core Principles (from Genre Analysis)

Based on systematic analysis of 32 case justification sections:

1. Position Determines Function

  • 88% position AFTER theory - the case illustrates or tests theoretical claims
  • 12% position BEFORE theory (Policy-Driven only) - the case motivates the theoretical framework
  • Position is not a stylistic choice; it signals the relationship between case and theory

2. Phenomenon-Site-Link Openings Dominate (50%)

Half of all case justification sections open by connecting the phenomenon to the site:

"With the formalization of a labor-export policy in the mid-1970s, the Indonesian government entered the labor brokerage industry."

Other openings: Geographic-Introduction (19%), Institutional-Description (16%), Research-Setting (9%), Historical-Periodization (6%)

3. Single Subsection Is the Norm (75%)

Most case justification sections use exactly one subsection heading. Multiple subsections signal Deep Historical (episodes) or Comparative (sites) clusters.

4. Implicit Transitions Dominate (66%)

Two-thirds of sections end without explicit transition language. The structural break to Methods carries readers forward. Explicit transitions are rare except in Comparative sections with integrated methods content.

5. Tables Signal Comparative Treatment

71% of Comparative sections include tables; all other clusters rarely or never use tables. If you have a table, you probably have a Comparative section.

Key Statistics (Benchmarks)

Corpus Overview

MetricValue
Total articles32
Median word count765
Range264-3,210
Single subsection75%
Position after theory88%

Cluster Distribution

ClusterN%Word Target
Standard Context1134%700-1,000
Comparative722%1,000-1,500
Minimal Context516%300-500
Deep Historical516%1,500-2,500
Policy-Driven413%650-900

Opening Move Distribution

Opening TypePrevalence
Phenomenon-Site-Link50%
Geographic-Introduction19%
Institutional-Description16%
Research-Setting9%
Historical-Periodization6%

Justification Strategy Distribution

StrategyPrevalence
Intrinsic-Interest38%
Theoretical-Fit22%
Empirical-Extremity16%
Variation-Leverage16%
Access-Driven9%

The Five Clusters

Case justification sections cluster into five recognizable styles:

ClusterTarget WordsPrevalenceKey FeatureWhen to Use
Minimal300-50016%Brief, efficientWell-known site, mixed-methods
Standard700-1,00034%Balanced contextDEFAULT for single-site studies
Deep Historical1,500-2,50016%Chronological narrativeMovement studies, periodization
Comparative1,000-1,50022%Parallel sites, tablesMulti-site comparisons
Policy-Driven650-90013%BEFORE theoryPolicy IS the phenomenon

Default: Standard Context. Choose other clusters only when specific triggers apply.

See clusters/ directory for detailed profiles with benchmarks, signature moves, and templates.

Workflow Phases

Phase 0: Assessment

Goal: Gather study information and select the appropriate cluster.

Process:

  • Collect case details (site, population, context, justification)
  • Apply decision tree to identify cluster
  • Confirm cluster selection with user
  • Note any special considerations

Guide: phases/phase0-assessment.md

Pause: User confirms cluster selection before drafting.

Phase 1: Drafting

Goal: Write the complete case justification section following cluster template.

Process:

  • Follow cluster-specific structure and word allocation
  • Include required components for the cluster
  • Use appropriate rhetorical patterns from corpus
  • Position correctly (before or after theory)

Guides:

  • phases/phase1-drafting.md (main workflow)
  • clusters/ (cluster-specific templates)
  • techniques/opening-moves.md (how to start)
  • techniques/justification-strategies.md (how to justify)
  • techniques/transitions.md (how to end)

Output: Complete case justification section draft.

Pause: User reviews draft.

Phase 2: Revision

Goal: Calibrate against benchmarks and polish.

Process:

  • Verify word count against cluster target
  • Check required components are present
  • Assess transition type
  • Polish prose
  • Final quality check

Guide: phases/phase2-revision.md

Output: Revised case justification section with quality memo.


Cluster Decision Tree

To identify which cluster fits your study:

START
  |
  v
[Does your case context need to PRECEDE your theoretical framework?]
(Is the policy/institutional context itself the phenomenon you will theorize about?)
  |
  +-- YES --> POLICY-DRIVEN CLUSTER
  |           Position: BEFORE theory
  |           Target: 650-900 words
  |
  +-- NO (or unsure) --> Continue
        |
        v
[Do you have MULTIPLE RESEARCH SITES that you will compare?]
(Two or more locations, organizations, or cases studied in parallel?)
  |
  +-- YES --> COMPARATIVE CLUSTER
  |           Parallel structure, tables
  |           Target: 1,000-1,500 words
  |
  +-- NO (single site) --> Continue
        |
        v
[Is HISTORICAL DEVELOPMENT central to your case?]
(Must you trace multiple episodes, periods, or phases?)
  |
  +-- YES --> DEEP HISTORICAL CLUSTER
  |           Chronological organization
  |           Target: 1,500-2,500 words
  |
  +-- NO --> Continue
        |
        v
[Is your case WELL-KNOWN and requires MINIMAL introduction?]
(Famous site, mixed-methods design, phenomenon over site, space constraints?)
  |
  +-- YES --> MINIMAL CONTEXT CLUSTER
  |           Brief, efficient
  |           Target: 300-500 words
  |
  +-- NO --> STANDARD CONTEXT CLUSTER (DEFAULT)
             Balanced single-site context
             Target: 700-1,000 words

Cluster Profiles

Reference these guides for cluster-specific writing:

GuideClusterTriggers
clusters/minimal.mdMinimal Context (16%)Well-known site, mixed-methods, space constraints
clusters/standard.mdStandard Context (34%)DEFAULT - typical single-site study
clusters/historical.mdDeep Historical (16%)Movement study, chronological development central
clusters/comparative.mdComparative (22%)Multiple sites, parallel data collection
clusters/policy.mdPolicy-Driven (13%)Policy IS the phenomenon, BEFORE theory

Technique Guides

GuidePurpose
techniques/opening-moves.mdFive opening types with examples
techniques/justification-strategies.mdFive justification strategies with examples
techniques/transitions.mdTransition patterns by cluster

Component Prevalence by Cluster

ComponentMinimalStandardHistoricalComparativePolicy
Geographic Context40%82%80%86%75%
Historical Background40%64%100%57%75%
Policy/Legal Context20%64%80%43%100%
Demographic Profile0%45%40%71%50%
Institutional Description20%45%60%71%75%
Sampling Rationale60%36%20%57%0%

Prohibited Moves

Across All Clusters

  • Opening with "In this section, I will describe..."
  • Using "As mentioned above..." or similar metadiscourse
  • Using "My research setting is..." (dive into substance instead)
  • Over-signposting structure

Cluster-Specific Prohibitions

ClusterNever Do
MinimalInclude tables, trace historical development, exceed 500 words
StandardUse multiple subsections, position before theory
Deep HistoricalBrief treatment, skip chronological arc, position before theory
ComparativeTreat sites as undifferentiated, omit variation-leverage statement
Policy-DrivenPosition after theory, treat policy as background

Model Recommendations

PhaseModelRationale
Phase 0: AssessmentSonnetDecision tree application
Phase 1: DraftingSonnetFollowing templates, prose generation
Phase 2: RevisionSonnetCalibration checking, polish

Starting the Process

When the user is ready to begin:

  1. Ask about the case: "What is your research site? Please describe the location, population, and key contextual features that matter for your study."
  2. Ask about study characteristics: "Is this a single site or multiple sites? Is historical development central to your case? Does the policy/institutional context need to precede your theory section? Are there space constraints?"
  3. Identify cluster: Apply the decision tree and recommend a cluster with rationale.
  4. Confirm and proceed to Phase 0 to formalize the assessment.

Key Reminders

  • Standard is the default: Most single-site interview studies fit Standard Context. Choose other clusters only when triggers apply.
  • Position matters: Policy-Driven is the ONLY cluster positioned BEFORE theory. All others go AFTER.
  • Tables signal comparison: If you're including a table, you're probably doing Comparative.
  • Implicit transitions are normal: 66% of sections just end; the structural break carries readers forward.
  • Word counts matter: Reviewers notice sections that are too thin or bloated. Match your cluster.
  • Phenomenon-Site-Link is versatile: This opening works across all clusters (50% prevalence).

平台分布

Codex

36.46%
按下载量换算57

Claude

30.43%
按下载量换算48

Cursor

20.07%
按下载量换算32

Gemini CLI

10.18%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。

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