kobenfang/BigFood
🍳 BigFood AI冰箱管家 - 食材识别→菜谱推荐
Project Overview项目介绍
BigFood is an agent skill for AI-powered fridge management that follows the open Agent Skills standard. It supports multiple agent frameworks that implement this standard, including DeepSeek Harness (DSH), OpenClaw, and Claude Code. Its core capability is ingredient recognition from uploaded food photos, generating relevant recipe recommendations based on all detected ingredients. It also adds support for multiple-image mixed recognition, editable fridge inventory management, and expiry-based purchase reminder features.
The typical workflow starts when a user takes photos of the ingredients currently in their fridge and uploads them to the AI agent. BigFood then prompts the AI to recognize all ingredients from the photos, compile them into a structured inventory list, and generate recipe options that use the available ingredients. Users can also track ingredient expiry dates and get reminders to use up ingredients before they go bad, or plan their next grocery run based on what they already have. This skill is designed for home cooks who want to reduce food waste and make better use of the ingredients they already own.
There are two main install methods for DSH users: the recommended approach is to clone the repository into the user-level shared agents directory ~/.agents, or you can copy it into the .agents directory of your current project. OpenClaw users can install it directly with the command npx clawhub install bigfood from ClawHub. The skill requires an AI model that supports multimodal image analysis to work properly. It is released under the permissive MIT open source license, with no associated costs, and will appear in DSH's skill list after DSH restarts.
BigFood是一款遵循Agent Skills开放标准的AI冰箱管家技能,核心功能是识别用户上传的食材图片中的食材,再根据现有食材推荐合适菜谱,同时支持多图混合识别、冰箱食材库存管理和采购提醒。它可以在多个遵循Agent Skills标准的AI代理框架运行,包括DeepSeek Harness(DSH)、OpenClaw、Claude Code等。
典型工作流中,用户先拍摄冰箱现有食材的照片上传,BigFood会自动识别出所有食材种类,之后整理生成可编辑的食材库存列表,用户可以根据推荐的菜谱选择想吃的菜品,也可以设置食材过期提醒来规划下一次采购。这款技能适合经常在家做饭、想要整理冰箱食材、避免食材浪费的普通用户使用。
安装方式有两种,推荐克隆到用户级共享目录~/.agents,也可以放到当前项目的.agents目录,OpenClaw用户还可以通过npx clawhub install bigfood命令直接安装。运行该技能需要AI模型支持多模态图片分析能力,项目采用MIT开源许可,无使用成本,DSH启动后即可在技能列表中找到该技能。
请帮我安装这个 DSH 插件。安装前先完成【兼容性检查 + 安全性检查】,检查通过再动手。
插件:BigFood(kobenfang/BigFood)
仓库:https://github.com/kobenfang/BigFood
本站详情页:https://www.yhbd.top/plugins/kobenfang-bigfood/
本站登记:类型 plugin · 归类 原生 DSH 插件 · 许可证 MIT · ⭐ 2 · 最近提交 2026-08-26 · 主语言 JavaScript
按下面顺序执行,每步先把结论告诉我,再进入下一步:
【1 兼容性检查】
① 我这边:DSH 版本、Node 版本、操作系统、当前 profile(web / desktop)。
② 读它的 README、package.json、插件 manifest,列出它要求的 DSH 版本 / Node 版本 / 操作系统 / 外部依赖 / 需要另外先装的运行时。
③ 逐条比对,结论只写「满足 / 不满足 / 未知」三种;不满足的给出可行替代方案。
④ 检查是否和我已装的插件冲突:命令名重复、skill / tool 重名、端口占用、重复注册的 MCP server。
【2 安全性检查】
① 仓库可信度:和上面「本站登记」是否一致;star / fork 数、创建时间、最近提交,是否归档或长期停更。
② 安装脚本:逐行看 package.json 的 preinstall / install / postinstall,以及 install.sh、setup.ps1 之类脚本。出现 curl|bash、下载后直接执行、混淆代码、访问与插件功能无关的域名,立刻停下来告诉我,不要继续装。
③ 依赖:列出新增依赖,标出无人维护、或与知名包拼写近似的可疑包(typosquatting)。
④ 权限与副作用:它会读写哪些目录、访问哪些域名、需要哪些 DSH 权限(filesystem / network / shell / clipboard 等),以及怎么卸载和回滚。
⑤ 如果它要求 sudo / 管理员权限,或权限明显超出功能所需,先停下来问我。
【3 安装】
上面两步没有「不满足」和「高危项」时才执行;用官方推荐方式安装,不要自行提权。
【4 汇报】
用表格输出:检查项 / 结论 / 依据 / 是否需要我决策。拿不准的一律写「未知」并说明要我怎么确认——不要猜,也不要替我决定。
Send this message to DSH in your current session: it verifies compatibility and security first (answering met / not met / unknown item by item) and only installs once everything checks out — it will stop and ask you if it finds a high-risk item. The box scrolls; the copy is the full prompt. CLI install commands may not be accurate across systems, so DSH is the safer route.把上面这条消息直接发给当前会话里的 DSH:它会先核对兼容性与安全性(逐条给「满足 / 不满足 / 未知」),确认没问题再安装,有高危项会停下来问你。框内可滚动,复制到的是完整提示词;安装命令不一定准确,发给 DSH 更稳。
- Only 2 stars - very few users, little community feedback星标只有 2,几乎没人在用,遇到问题缺少社区反馈
DSH walks through these 9 checksDSH 会逐条核对这 9 项
Compatibility兼容性
- DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
- External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
- Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册
Security安全性
- Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
- Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
- curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
- Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
- Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
- Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式
Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。
Or use CLI install (for developers)或使用命令行安装(适合开发者)
CLI Install命令行安装
dsh plugin --profile web add github:kobenfang/BigFood
把 kobenfang/BigFood 加入你的 DSH 配置(web profile)即可启用。
READMEREADME
🍳 BigFood · AI 冰箱管家
上传食材图片识别 → 推荐菜谱。支持多图混搭、冰箱食材管理、采购提醒。Food recognition, recipe recommendation, ingredient management.
English: AI fridge manager: recognize ingredients from photos, recommend recipes, manage inventory.
✨ 功能
详见 SKILL.md 完整说明。
🔧 环境依赖
食材识别需要多模态模型支持(上传图片分析)。
📥 安装(DeepSeek Harness / dsh)
本技能遵循 Agent Skills 开放标准(SKILL.md + YAML frontmatter),适用于 DeepSeek Harness (dsh)、OpenClaw、Claude Code 等支持 Agent Skills 的框架。
# 方式一:放入用户级共享目录(推荐)
mkdir -p ~/.agents
git clone https://github.com/kobenfang/bigfood.git ~/.agents/bigfood
# 方式二:放入项目目录
mkdir -p .agents
cp -r bigfood .agents/
dsh 启动后即可在技能列表中找到 bigfood。
🔍 搜索关键词
冰箱, 菜谱, 食材, 做饭, 吃什么, recipe, ingredient, cooking
📄 目录结构
bigfood/
├── SKILL.md # 技能定义(Agent Skills 标准)
⚖️ License
MIT
© 2026 kobenfang · 更多技能见 dsh-skills
📦 Also on ClawHub (OpenClaw)
This skill is also published on ClawHub for OpenClaw users:
npx clawhub install bigfood
Search it: npx clawhub search bigfood
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