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Mingshu Classifier
作者
KKming1998
· GitHub ↗
· v2.0.1
· MIT-0
95
总下载
0
收藏
0
当前安装
5
版本数
在 OpenClaw 中安装
/install mingshu-classifier
功能描述
对文件进行分类分级。根据 GB/T 35273 个人信息安全规范，扫描指定目录下的文件，自动识别敏感等级并打标签。支持基于文件名和文件内容双重检测，覆盖 docx/txt/md/csv/json 等多种格式。触发词：文件分类、分级、打标签、敏感分级、数据分级、信息分级、文件扫描、合规检查、隐私评估、PII分类。
安全使用建议
This skill appears coherent and limited to local file scanning. Before installing or running it: 1) review and run the script on a small, non-sensitive test directory first (or use --name-only) to confirm behavior; 2) avoid scanning system roots or directories with many secrets/configs you don't intend to analyze (the script will match substrings like 'password', 'token', 'api_key'); 3) if you need .docx content scanning, install python-docx in a controlled environment; 4) inspect the bundled script yourself if you have concerns — it currently contains no network calls or unexpected behavior, but you should only run code from sources you trust; 5) be cautious about exporting the CSV/JSON results to external/shared locations because they may contain sensitive matches.
能力标签
能力评估
Purpose & Capability
Name/description match the included script and rules: the Python script recursively scans a user-specified directory, reads file names and supported file contents, and applies GB/T 35273 keyword rules to label files S/G. No unrelated capabilities (cloud access, system-wide config changes, or external service integration) are requested.
Instruction Scope
SKILL.md instructs the agent to run the included scan_files.py against a target directory, optionally restricting to name-only checks. The instructions are limited to scanning and outputting results locally; there are no steps that read unrelated system config, call external endpoints, or exfiltrate data. The script does read file contents for supported types, which is expected for this purpose.
Install Mechanism
No install spec is provided (instruction-only skill with a bundled script). That minimizes install-time risk. The only optional dependency is python-docx (used to read .docx files); the script gracefully degrades to name-only mode if python-docx is not present.
Credentials
The skill requests no environment variables, credentials, or config paths. The script's keyword lists include words such as 'password', 'api_key', and 'token' for detection purposes — this is consistent with detecting sensitive items but may cause many matches when scanning code/config files; nevertheless the requested environment access is minimal and proportionate.
Persistence & Privilege
The skill does not request permanent presence (always=false), does not modify other skills or system settings, and runs only when invoked by the user/agent. It performs read-only operations on files per the README and prints/saves results locally.
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 mingshu-classifier - 安装完成后，直接呼叫该 Skill 的名称或使用
/mingshu-classifier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
v2.0.1
同步 skill 描述：新增文件内容扫描能力说明，覆盖 docx/txt/md/csv/json 等多格式
v2.0.0
新增文件内容扫描能力，同时基于文件名和文件内容进行关键词匹配判断，支持 docx/txt/md/csv/json 等格式内容读取
v1.1.0
简化分级为两类：S（敏感个人信息）和 G（一般个人信息），符合 GB/T 35273 标准定义
v1.0.1
优化描述文案，提升 skill 触发准确性
v1.0.0
初始版本：支持基于文件名关键词的 GB/T 35273 个人信息安全规范分类分级
元数据
常见问题
Mingshu Classifier 是什么？
对文件进行分类分级。根据 GB/T 35273 个人信息安全规范，扫描指定目录下的文件，自动识别敏感等级并打标签。支持基于文件名和文件内容双重检测，覆盖 docx/txt/md/csv/json 等多种格式。触发词：文件分类、分级、打标签、敏感分级、数据分级、信息分级、文件扫描、合规检查、隐私评估、PII分类。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 95 次。
如何安装 Mingshu Classifier？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mingshu-classifier」即可一键安装，无需额外配置。
Mingshu Classifier 是免费的吗？
是的，Mingshu Classifier 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Mingshu Classifier 支持哪些平台？
Mingshu Classifier 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 Mingshu Classifier？
由 KKming1998（@kkming1998）开发并维护，当前版本 v2.0.1。
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