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质性主题分析
作者
yipng05-max
· GitHub ↗
· v1.0.0
· MIT-0
352
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install qualitative-thematic-analysis
功能描述
基于Braun & Clarke六阶段法，对本地质性资料（访谈、观察、文本）进行系统性主题归纳、编码及报告生成。
安全使用建议
This skill appears to do what it says: local thematic analysis using included Python scripts. Before installing/running: (1) review the three scripts yourself (they are short and readable); (2) ensure you have Python 3 and install needed packages (openpyxl, python-docx, pdfplumber) in a virtual environment; (3) test on non-sensitive/sample files first; (4) confirm you have consent to process the data and follow the ethics guidance in references/ethics-note.md. Note: the package/dependency requirements are not declared in the registry metadata, and export_report.py contains a minor string formatting bug that may prevent report export until fixed — this is a correctness issue, not a security concern.
功能分析
Type: OpenClaw Skill
Name: qualitative-thematic-analysis
Version: 1.0.0
The skill bundle provides a legitimate toolset for qualitative thematic analysis following the Braun & Clarke methodology. It includes Python scripts for text extraction (extract_text.py) and data export (export_coding.py, export_report.py) that operate entirely on local files without any network activity, obfuscation, or suspicious execution patterns. The instructions in SKILL.md and the supporting documentation in the references directory are well-structured and focused on the research process, including explicit ethical considerations for data privacy.
能力评估
Purpose & Capability
The skill is coherently aimed at local qualitative (thematic) analysis and includes helper scripts to extract text and export results. However, the registry metadata lists no required binaries or packages even though the scripts clearly require a Python 3 interpreter and optional packages (python-docx, pdfplumber, openpyxl). This is a minor inconsistency (usability, not malicious).
Instruction Scope
SKILL.md confines actions to reading user-provided local files, asking for consent/metadata, running local extraction and export scripts, and generating reports. It explicitly warns not to upload data externally and includes an ethics note. There are no instructions to read unrelated system files or to send data to external endpoints.
Install Mechanism
No install spec is provided (lowest-risk), which matches an instruction-first skill. Practical execution requires Python and third-party packages (openpyxl, python-docx, pdfplumber) but no mechanism is provided to install them — a coherence/usability gap rather than a security issue.
Credentials
The skill requests no environment variables, credentials, or config paths. All declared behavior is consistent with local file processing and does not demand unrelated secrets or elevated access.
Persistence & Privilege
No persistent privileges are requested (always: false). The skill does not attempt to modify other skills or global agent settings; autonomous invocation is allowed by default but presents no additional red flags here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install qualitative-thematic-analysis - 安装完成后，直接呼叫该 Skill 的名称或使用
/qualitative-thematic-analysis触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
qualitative-thematic-analysis 1.0.0 — 质性主题分析工具初版发布
- 实现基于 Braun & Clarke 六阶段流程的主题分析，支持访谈、观察、文本等资料
- 强制分析前收集资料路径、类型、数量、研究问题等关键信息
- 步骤清单覆盖熟悉资料、初始编码、主题归纳、主题审查、主题命名与分析报告撰写
- 提供标准输出格式：编码表（Excel）、主题树（Markdown）、分析报告（DOCX）
- 内置使用提问模板及详细操作指引，方便不同类型团队成员使用
- 标注已知问题并规划后续迭代重点，包括分析深度提升和流程优化
元数据
常见问题
质性主题分析 是什么？
基于Braun & Clarke六阶段法，对本地质性资料（访谈、观察、文本）进行系统性主题归纳、编码及报告生成。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 352 次。
如何安装 质性主题分析？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qualitative-thematic-analysis」即可一键安装，无需额外配置。
质性主题分析 是免费的吗？
是的，质性主题分析 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
质性主题分析 支持哪些平台？
质性主题分析 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 质性主题分析？
由 yipng05-max（@yipng05-max）开发并维护，当前版本 v1.0.0。
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