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yipng05-max

质性主题分析

by yipng05-max · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install qualitative-thematic-analysis
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install qualitative-thematic-analysis
  3. After installation, invoke the skill by name or use /qualitative-thematic-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Slug qualitative-thematic-analysis
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 质性主题分析?

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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 352 downloads so far.

How do I install 质性主题分析?

Run "/install qualitative-thematic-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 质性主题分析 free?

Yes, 质性主题分析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 质性主题分析 support?

质性主题分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 质性主题分析?

It is built and maintained by yipng05-max (@yipng05-max); the current version is v1.0.0.

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