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纯血万相冰箱盲盒

作者 laojun · GitHub ↗ · v3.0.0 · MIT-0
cross-platform ⚠ suspicious
173
总下载
0
收藏
1
当前安装
10
版本数
在 OpenClaw 中安装
/install pure-wan-fridge-gourmet
功能描述
纯血万相冰箱盲盒 - 基于 Wan2.7/Wan2.1 视觉大模型的烹饪灵感触发器。用户上传冰箱内部照片,Skill 利用万相图像生图像能力,将杂乱冰箱场景语义化提炼并重组为精致创意料理概念图。支持多种菜系(中餐/西餐/日料/法餐/意餐/韩式/泰式/融合)、难易程度(简单/适中/挑战)、烹饪时间(快手/适中/慢炖...
安全使用建议
What to check before installing or running this skill: - Do not paste your permanent or high-privilege API keys. The skill asks for WAN_API_KEY (and examples use WAN_API_URL). Use a scoped or ephemeral key and confirm the API host is legitimate before supplying credentials. - The registry metadata claims no required env vars, but SKILL.md and examples require WAN_API_KEY/WAN_API_URL — ask the author to fix the metadata or explain why it was omitted. - Inspect scripts/generate_gourmet.py (already included) to see exactly which endpoints are called and what data is uploaded. Verify the WAN_API_URL points to a trusted provider (official Wan/DashScope endpoints) — the placeholder domains in examples (wan.xxx) are not authoritative. - Remove or inspect any hidden/control characters in SKILL.md (the scanner flagged unicode-control-chars). Hidden control chars can be used to manipulate model behavior; request a clean/plain version from the author or scrub the file yourself. - Be aware images you upload (fridge photos) and generated outputs may be stored on external servers (OSS URLs are referenced). If photos contain sensitive information (labels, notes, or interior locations), treat uploads as potentially public. - Because the bundle includes runnable code but no install manifest, run it in an isolated environment (sandbox/container/VM) and review network traffic if possible. - If you need higher assurance, ask the publisher for: a homepage/source repository, author identity, a clear canonical WAN API endpoint, and removal/explanation of the control characters. If those are not provided, treat the skill as untrusted. Confidence note: medium — the core functionality is coherent, but the metadata mismatch and prompt-injection signal prevent a clean 'benign' verdict without further author clarification.
功能分析
Type: OpenClaw Skill Name: pure-wan-fridge-gourmet Version: 3.0.0 The skill bundle is a legitimate tool designed to analyze fridge photos and generate recipes and gourmet images/videos using Alibaba's DashScope (Wan/Qwen-VL) APIs. The core logic in `scripts/generate_gourmet.py` and the supporting `data/recipe_database.py` are well-documented and align perfectly with the stated purpose. The script handles API keys via environment variables and communicates only with official Alibaba Cloud endpoints (dashscope.aliyuncs.com), with no evidence of malicious data exfiltration, unauthorized execution, or harmful instructions.
能力标签
crypto
能力评估
Purpose & Capability
Name/description align with included Python scripts that send fridge photos to a Wan/DashScope imaging API and produce recipes; requiring an API key for that service is reasonable. However the registry metadata declares no required env vars/credentials while SKILL.md and examples explicitly ask for WAN_API_KEY (and optionally WAN_API_URL). That metadata mismatch is inconsistent.
Instruction Scope
SKILL.md instructs users to upload fridge photos to an external service and to export WAN_API_KEY/WAN_API_URL; the included scripts will perform network calls (requests). The SKILL.md contains a pre-scan 'unicode-control-chars' prompt-injection signal, which means parts of the instruction file may contain hidden control characters that could influence model parsing or agent behavior. Also SKILL.md and examples reference external result URLs and an OSS bucket; users should be aware images and derived recipe outputs leave the local environment.
Install Mechanism
There is no install spec (instruction-only from registry) but the package includes runnable Python scripts and a recipe DB. The only declared dependency in text is 'pip install requests'—lightweight—but the absence of an install manifest combined with shipped code means the code will be executed from the skill bundle as-is (no vetted package manager step). This is not inherently malicious but increases the need to inspect the code before running.
Credentials
The behavior requires WAN_API_KEY (and examples show WAN_API_URL) to call Wan/DashScope, which is proportionate to the stated purpose. However the registry metadata lists no required env vars or primary credential; that mismatch is a red flag. Also the skill asks for an API key that will be sent to external endpoints — users should ensure the key is limited/scoped and not reused for other systems.
Persistence & Privilege
The skill is not configured as always:true, does not request elevated system privileges, and does not declare changes to other skills or system-wide settings. It runs as an ordinary script that performs network calls.
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 pure-wan-fridge-gourmet
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /pure-wan-fridge-gourmet 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
v3.0.0
v3.0重磅升级:真实经典菜谱数据库+详细烹饪技法
v2.6.0
v2.6优化:改进输出格式,图文并茂展示菜谱和烹饪步骤,让做法和效果图一起呈现,更清晰易读
v2.5.0
v2.5优化:中文提示词、强化热菜描述、替换生僻词汇、优化食材表述,尝试改善图片熟度
v2.4.0
v2.4重大更新:新增万相2.6文生图支持(2.7-t2i),基于菜谱文字描述生成图片,图文更贴合!修复size格式问题、添加prompt_extend参数优化生成效果
v2.3.0
v2.3新增:尝试添加万相2.7文生图支持(2.7-t2i)、优化中文提示词、添加食材颜色提示、改进图文匹配度
v2.2.0
v2.2优化:新增中文提示词支持、添加颜色提示、支持自定义seed值、改进食材识别精度、多种提示词策略优化
v2.1.0
v2.1优化:新增食材识别确认功能、优化提示词让图片更贴合菜谱、添加负面提示词排除不相关元素、改进图生图文本权重
v2.0.0
v2.0重大更新:新增60种菜系支持、智能菜谱生成(食材清单+烹饪步骤+技巧)、支持万相2.7图生图和2.1视频生成
v1.1.0
支持万相2.7模型,优化API调用,改进文档格式
v1.0.0
基于 Wan2.1 的冰箱食材转米其林菜品 Skill,支持菜系/难度/时间参数定制
元数据
Slug pure-wan-fridge-gourmet
版本 3.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 10
常见问题

纯血万相冰箱盲盒 是什么?

纯血万相冰箱盲盒 - 基于 Wan2.7/Wan2.1 视觉大模型的烹饪灵感触发器。用户上传冰箱内部照片,Skill 利用万相图像生图像能力,将杂乱冰箱场景语义化提炼并重组为精致创意料理概念图。支持多种菜系(中餐/西餐/日料/法餐/意餐/韩式/泰式/融合)、难易程度(简单/适中/挑战)、烹饪时间(快手/适中/慢炖... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 173 次。

如何安装 纯血万相冰箱盲盒?

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

纯血万相冰箱盲盒 是免费的吗?

是的,纯血万相冰箱盲盒 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

纯血万相冰箱盲盒 支持哪些平台?

纯血万相冰箱盲盒 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 纯血万相冰箱盲盒?

由 laojun(@laojun509)开发并维护,当前版本 v3.0.0。

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