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Image Processing Toolkit
作者
wangziiiiii
· GitHub ↗
· v1.0.2
· MIT-0
351
总下载
1
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install wangziiiii
功能描述
Local image processing toolkit for format conversion, compression, resizing, batch jobs, and image-to-PDF. Use when users ask 压缩图片/改尺寸/批量处理/转PDF. Supports si...
安全使用建议
This skill appears to do exactly what it claims: local image conversion, compression, resizing, batch operations and image→PDF using Pillow and img2pdf. Before installing: (1) run installation commands inside an isolated Python virtual environment as the SKILL.md recommends; (2) be aware that scripts/selftest.py will create a 'tmp' directory outside the skill folder (WORK path uses ROOT.parent.parent) — run it only if you are comfortable with that; (3) the README suggests using an auxiliary tool 'uv' (e.g. 'uv venv') which is not declared as required — you can ignore those lines and use python -m venv / pip instead; (4) inspect the scripts if you will run them on sensitive directories (they write new files by default, can overwrite with --overwrite); (5) there are no network calls or credential requests in the code, so the main risk is accidental local file modification rather than exfiltration. If you want more assurance, run the selftest and operations in a disposable sandbox or container first.
功能分析
Type: OpenClaw Skill
Name: wangziiiii
Version: 1.0.2
The image-processing-toolkit is a legitimate set of Python scripts for local image manipulation (conversion, compression, resizing, and PDF creation) using the Pillow and img2pdf libraries. The code follows standard practices, including path normalization and error handling, and lacks any indicators of data exfiltration, unauthorized network access, or malicious execution. While SKILL.md includes links to external sites (jisuapi.com, jisuepc.com) for reference, they are presented as related resources and do not contain instructions for the AI agent to perform unauthorized actions.
能力评估
Purpose & Capability
The name/description (local image processing) aligns with the included Python scripts (convert, compress, resize, batch, to_pdf, utilities). Required packages (Pillow, img2pdf) are appropriate for the stated functionality and no unrelated credentials or binaries are requested.
Instruction Scope
SKILL.md instructions are focused on installing dependencies in a virtualenv and running the local scripts; the scripts operate only on files/paths supplied by the user. Two minor scope notes: (1) the README uses a tool invocation 'uv venv' / 'uv pip' (an undocumented wrapper) — an alternative venv workflow is provided but 'uv' is not declared as a required binary; (2) scripts/selftest.py seeds test images and writes to a WORK directory computed as ROOT.parent.parent / 'tmp' / ... which is outside the skill directory and may create files outside the repo when run. These are sloppy but not evidence of exfiltration.
Install Mechanism
No automated install step is declared; the skill is instruction-first and includes a standard requirements.txt (Pillow, img2pdf). There are no suspicious download URLs or archive extraction steps.
Credentials
The skill requests no environment variables, no credentials, and no config paths. All environment/credential access is proportional to a local image-processing tool.
Persistence & Privilege
The skill is not always-enabled, does not request elevated agent privileges, and does not modify other skills or system-wide configs. Its runtime behavior is limited to local filesystem operations.
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 wangziiiii - 安装完成后，直接呼叫该 Skill 的名称或使用
/wangziiiii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
v1.0.2
Sync latest local fixes and docs
v1.0.1
Tighten landing copy and remove hardcoded install paths
v1.0.0
Initial release of python-image-lab.
- Toolbox for image processing using Python (Pillow + img2pdf): convert formats, compress, resize, batch process, and merge images to PDF.
- Supports multiple installation methods with best practices for virtual environments.
- Command-line scripts for format conversion, compression, resizing, PDF merging, and pipeline batch tasks.
- Adds parameters like --dry-run, --include-ext, --exclude-ext, --exclude-suffixes, and --overwrite for flexible batch operations.
- Outputs to new files by default with descriptive suffixes; original images are not overwritten unless specified.
- Provides user-friendly error messages for missing dependencies, unsupported formats, and batch failures.
元数据
常见问题
Image Processing Toolkit 是什么？
Local image processing toolkit for format conversion, compression, resizing, batch jobs, and image-to-PDF. Use when users ask 压缩图片/改尺寸/批量处理/转PDF. Supports si... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 351 次。
如何安装 Image Processing Toolkit？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wangziiiii」即可一键安装，无需额外配置。
Image Processing Toolkit 是免费的吗？
是的，Image Processing Toolkit 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Image Processing Toolkit 支持哪些平台？
Image Processing Toolkit 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 Image Processing Toolkit？
由 wangziiiiii（@wangziiiiii）开发并维护，当前版本 v1.0.2。
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