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ademczuk

MenuVision

作者 ademczuk · GitHub ↗ · v1.0.1
cross-platform ⚠ suspicious
601
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install menuvision
功能描述
Build beautiful HTML photo menus from restaurant URLs, PDFs, or photos using Gemini Vision and AI image generation
安全使用建议
This skill appears to do what it says, but consider these before installing: 1) Privacy: PDFs and photos you provide will be sent to Google's Gemini APIs for extraction and image generation — do not upload sensitive personal data unless you're comfortable with Google processing it. 2) API key scope: use a dedicated Google API key or service account with minimal required permissions and rotate it if shared. 3) Local scripts: the agent will generate and run Python scripts locally (ensure python3 is the expected interpreter). 4) Publishing: if you choose to publish to GitHub Pages, the agent should prompt for explicit GitHub credentials; do not provide tokens unless you trust the action. 5) Source provenance: the metadata points at a GitHub repo (github.com/ademczuk/MenuVision); if provenance matters, review that repository or contact the author before trusting the skill.
功能分析
Type: OpenClaw Skill Name: menuvision Version: 1.0.1 The skill bundle is classified as suspicious due to its extensive use of high-risk capabilities, including the execution of `git` commands with a `GITHUB_PAT` for publishing to GitHub Pages, the installation and use of `playwright` (a headless browser) for web scraping, and broad file system access. While these capabilities are necessary for the skill's stated purpose of building and optionally publishing restaurant menus, they introduce significant attack surface and potential for misuse. There is no clear evidence of intentional malicious behavior (e.g., data exfiltration to unauthorized endpoints, persistence mechanisms, or obfuscation) within the `SKILL.md` instructions or implied code logic. However, the power of these operations, particularly the `GITHUB_PAT` for authenticated `git push` and the `playwright` browser, means that a compromised agent or a malicious input URL could lead to severe consequences, classifying it beyond benign.
能力评估
Purpose & Capability
The declared requirements (python3 and GOOGLE_API_KEY) match the SKILL.md: the pipeline extracts menu data via Gemini Vision, generates images via Gemini Image, and builds HTML using generated Python scripts. Requiring a Google API key is coherent for Gemini-based extraction and image generation, and python3 is reasonable because the agent will create and run Python scripts.
Instruction Scope
The instructions confine themselves to extracting menu data from user-supplied URLs/PDFs/photos, generating images, building local HTML, and optionally publishing to GitHub Pages. However, the extraction and image-generation steps explicitly send provided menu content (images/PDF text) to Google's Gemini APIs — users should be aware their menu content (and any embedded data in PDFs/photos) will be transmitted to Google. The SKILL.md does not instruct reading unrelated local files or environment variables.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is downloaded or written by the installer itself. That keeps install risk low; the agent will generate Python scripts at runtime which will run locally under the user's environment.
Credentials
Only one required env var (GOOGLE_API_KEY) is declared and used for Gemini calls — proportionate to the stated functionality. No unrelated credentials (e.g., AWS, GitHub) are required. Note: an optional publish step to GitHub Pages is listed but no GitHub token is requested by default; if the agent attempts to publish, it should request explicit permission and the appropriate GitHub credentials at that time.
Persistence & Privilege
The skill does not request permanent/always-enabled presence. It does not modify other skills or global agent settings per the SKILL.md. Runtime-generated scripts operate within the user's environment when invoked.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install menuvision
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /menuvision 触发
  4. 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
v1.0.1
Add portable output mode (base64 single-file HTML), make GitHub Pages publishing configurable via env vars, fix hardcoded repo
v1.0.0
Initial release: Instagram-style restaurant menu generator with AI food images via Gemini
元数据
Slug menuvision
版本 1.0.1
许可证
累计安装 0
当前安装数 0
历史版本数 2
常见问题

MenuVision 是什么?

Build beautiful HTML photo menus from restaurant URLs, PDFs, or photos using Gemini Vision and AI image generation. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 601 次。

如何安装 MenuVision?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install menuvision」即可一键安装,无需额外配置。

MenuVision 是免费的吗?

是的,MenuVision 完全免费(开源免费),可自由下载、安装和使用。

MenuVision 支持哪些平台?

MenuVision 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 MenuVision?

由 ademczuk(@ademczuk)开发并维护,当前版本 v1.0.1。

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