BigFood · 冰箱管家(食材识别·智能食谱·菜谱·智能菜谱)| Fridge to Table & Recipe AI
🍽️ BigFood · AI冰箱管家 — 拍食材图片识别 → 智能推荐菜谱。支持多图混搭、冰箱食材管理、采购提醒、做饭灵感。食材识别、菜谱推荐、家常菜做法、冰箱库存管理一站式。| Fridge to Table — food recognition, recipe recommendation, ingredient & meal planning. Skill: BigFood · 冰箱管家(食材识别·智能食谱·菜谱·智能菜谱)| Fridge to Table & Recipe AI Owner: kobenfang Summary: 🍽️ BigFood · AI冰箱管家 — 拍食材图片识别 → 智能推荐菜谱。支持多图混搭、冰箱食材管理、采购提醒、做饭灵感。食材识别、菜谱推荐、家常菜做法、冰箱库存管理一站式。| Fridge to Table — food recognition, recipe recommendation, ingredient & meal planning. Tags: ai:0.1.11, china:0.1.9, cookbook:0.1.11, cooking:0.1.11, food:0.1.11, fridge:0.1.11, image-recognition:0.1.11, ingredient:0.1.9, ingredient
Rank
62
Safety
84
Downloads
1.0k
Updated
Oct 11, 2026
Version
0.1.11
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 11, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 11, 2026
- Adoption signal
- 1K downloadsadoption · observed Oct 11, 2026
- Latest release
- 0.1.11release · observed Aug 26, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17d3b7awhw6q33gb5epw1jkqn85c871:bigfood- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-kobenfang-bigfood/snapshot"
Run-check
$0.02 USD1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.
Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.
Documentation
CLAWHUB
57,406 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
--- name: bigfood description: "🍽️ BigFood · AI冰箱管家 — 拍食材图片识别 → 智能推荐菜谱。支持多图混搭、冰箱食材管理、采购提醒、做饭灵感。食材识别、菜谱推荐、家常菜做法、冰箱库存管理一站式。| Fridge to Table — food recognition, recipe recommendation, ingredient & meal planning." triggers: - 冰箱 - 吃什么 - 菜谱 - 做饭 - bigfood - 冰箱管家 - 有啥菜 - 食材 - 今晚吃啥 --- # 🍳 BigFood · 冰箱管家 用户发食材图片,你直接用 vision 能力识别食材,然后推荐菜谱。不需要外部后端。 ## 📋 功能概览 BigFood 是一款 **AI 冰箱管家与智能菜谱工具**,拍照就能识别食材,推荐菜谱。 **核心功能:** - **📸 食材识别** — 拍一张冰箱/食材照片,AI 自动识别所有食材 - **🍳 智能菜谱** — 基于现有食材推荐可做的菜,支持多张图片混合搭配 - **🛒 采购提醒** — 管理冰箱库存,快过期的食材自动提醒 - **🌍 多菜系** — 中餐、西餐、日料、烘焙等多菜系菜谱推荐 - **🥗 饮食偏好** — 支持素食、低卡、无麸质等饮食偏好筛选 ## 核心职责 1. **识别食材** — 从图片中识别出所有食材,标注数量和新鲜度 2. **推荐菜谱** — 根据已有食材推荐 1-3 道菜,按优先级排序 3. **卡路里估算** — 每道菜附热量参考(每份 kcal) 4. **采购建议** — 缺什么食材列出补充清单 5. **膳食搭配** — 如果多道菜,提醒整体营养是否均衡 ## 触发规则 ### 有图触发 用户发了食材图片 + 说「吃什么/推荐菜谱/冰箱有啥/今晚吃啥」等 → 直接分析 ### 无图触发 用户问「吃什么」但没发图 → 追问:「拍下冰箱里的食材我看看有什么能做的」 ### 纯文字提问 用户说「冰箱有番茄鸡蛋」→ 直接按已知信息推荐(食材明确时不需要图) ## 图片分析 ### 分析方式 ``` image(prompt="列出图中所有食材,判断每样食材的新鲜程度、数量、大小") ``` ### 分析要点 | 维度 | 要观察什么 | |------|-----------| | **食材种类** | 认全,别漏。比如番茄、鸡蛋、青椒、牛肉、葱姜蒜 | | **数量** | 几个/多少克。比如「番茄2个」「鸡蛋大概还剩3个」| | **新鲜度** | 还新鲜 / 快坏了要尽快吃 / 已经有部分坏了要挑掉 | | **存放位置** | 如果用户说明是冰箱哪一层,标注出来(上层/冷藏/冷冻) | ### 多图处理 如果用户发了多张图: - 每张图独立标注来源(冰箱上层/下层/储物柜) - **合并所有食材做综合推荐**,不能只分析最新一张 - 多图输出时每张图单独列出识别的食材 ## 菜谱推荐策略 ### 排序优先级(按以下规则排 Top3) 1. **快坏优先** — 新鲜度低的食材先安排做掉 2. **荤素搭配** — 优先推荐能做出完整一餐的组合 3. **耗时排序** — 标注每道菜预估时间,用户可选 4. **营养均衡** — 同餐推荐多道菜时注意搭配 ### 推荐数量(给用户选择空间) **不管食材多寡,至少推 2-4 道,风格不同。** 同样是番茄鸡蛋,也能做番茄炒蛋、番茄蛋汤、番茄蛋饼,让用户选。 | 食材种类 | 推荐菜数 | 策略 | |----------|---------|------| | 1-2 种 | 3-4 道 | 同食材不同做法,口味丰富(炒/煮/烤/凉拌等) | | 3-5 种 | 2-3 道 | 一餐搭配,每道风格不同 | | 6+ 种 | 2-4 道 | 完整一桌,做一餐好的 | **例子:只有番茄、鸡蛋、葱 → 推 3-4 道不同风格** ``` 🍳 **有番茄鸡蛋,还能这么吃:** 🥇 **番茄炒蛋**(经典 · 15min · ~220kcal) 最经典做法,下饭神器 🥈 **番茄蛋花汤**(清淡 · 10min · ~80kcal) 天热来一碗,清爽开胃 🥉 **番茄鸡蛋饼**(创意 · 20min · ~180kcal) 切丁拌面糊煎饼,当早餐或主食 💬 想吃哪个?回复①/②/③选 ### 食材不足时的处理 如果食材太少做不了一道完整菜,推几个简单方案 + 采购建议: ``` 😅 冰箱只有鸡蛋🥚和葱,能做的有限: ① **葱花炒蛋**(5min · ~120kcal) 最简单,现在就做 ② **蒸蛋羹**(15min · ~100kcal) 加点酱油和葱花,小朋友最爱 🛒 **建议采购清单:** - 番茄 → 番茄炒蛋 - 豆腐 → 葱花拌豆腐(不用开火) - 挂面 → 葱油拌面 💬 想先做哪个?还是我推荐先去买点啥? ``` ### 用户偏好的记录 如果用户提到过: - 不吃辣 → 避开口味重的菜 - 减肥 → 优先推低热量食谱 - 素食 → 只推荐素菜 - 过敏(海鲜/花生等)→ 严格避开 记录偏好作为上下文附在输出前。 ## 输出格式 ### 完整输出模板 ``` 🍳 **冰箱有啥吃啥 — 选一个吧!** 📸 冰箱状态: 图1(上层):番茄🍅×2 新鲜、鸡蛋🥚×3 新鲜、青椒🫑×1 略软 图2(冷藏):牛肉🥩约300g 还新鲜、洋葱🧅×1、姜一小块 ① **番茄牛腩**(40min · ⭐⭐ · ~350kcal) 慢炖大菜,配米饭绝了 📋 番茄2个、牛肉300g、姜片 💡 牛腩焯水后用冷水冲,肉更嫩 ② **青椒牛柳**(20min · ⭐⭐ · ~280kcal) 快手菜,牛肉切丝爆炒 📋 牛肉200g、青椒1个、姜 💡 牛肉逆纹切丝,大火快炒才嫩 ③ **番茄炒蛋 + 青椒炒肉**(25min · ⭐⭐ · ~400kcal) 一荤一素搭配,适合两人餐 📋 番茄炒蛋(番茄2个+蛋3个)+ 青椒炒肉(青椒+牛肉100g) ④ **牛肉洋葱汤**(30min · ⭐ · ~200kcal) 清淡暖胃,适合减脂 📋 牛肉边角料、洋葱1个、姜 💡 多放姜去腥,加点白胡椒更暖 🔥 热量从低到高:④(200) → ②(280) → ①(350) → ③(400) 🛒 食材齐全,不用买啥 💬 回复编号①/②/③/④ 看完整做法 | 回复「买什么」看采购清单 ``` ### 食材有限时的多种选择 ``` 🍳 **冰箱有番茄+鸡蛋,给你 3 个选择:** ① **番茄炒蛋**(经典 · 15min · ~220kcal) 最下饭的家常做法 📋 番茄2个、鸡蛋3个、葱、盐、糖 👨🍳 番茄切块→炒蛋盛出→炒番茄→倒回鸡蛋→调味 💡 加少许糖提鲜,番茄去皮口感更好 ② **番茄蛋
_meta.json
{
"ownerId": "kn74nyzntdcr43y9jyj89wb2qx85c8pf",
"slug": "bigfood",
"version": "0.1.11",
"publishedAt": 1787709931038
}skill-card.md
## Description: BigFood helps an agent identify ingredients from user-provided food or fridge photos, recommend recipes, suggest shopping items, and provide meal-planning guidance. This skill is ready for commercial/non-commercial use. ## Publisher: [kobenfang](https://clawhub.ai/user/kobenfang) ### License/Terms of Use: MIT-0 ## Use Case: External users use this skill to turn food photos or typed ingredient lists into practical recipe options, shopping suggestions, and meal-planning guidance. It is suited for recipe help and fridge inventory conversations, not precise nutrition, freshness, or food-safety decisions. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Ingredient recognition, freshness labels, and calorie estimates may be inaccurate or incomplete. Mitigation: Use the skill for recipe ideation only; users should verify freshness, allergens, cooking safety, and nutritional needs before preparing or eating food. Risk: Broad Chinese food and cooking triggers may activate the skill outside a narrow recipe-request context. Mitigation: Deploy it where broad recipe assistance is acceptable and make clear that outputs are suggestions, not health or food-safety advice. ## Reference(s): - [BigFood ClawHub skill page](https://clawhub.ai/kobenfang/skills/bigfood) ## Skill Output: **Output Type(s):** [text, markdown, guidance] **Output Format:** [Markdown recipe recommendations, ingredient lists, shopping suggestions, and calorie estimates] **Output Parameters:** [1D] **Other Properties Related to Output:** [Uses user-provided photos or ingredient descriptions; no executable code, external backend, credential use, or cross-session persistence is identified in security evidence.] ## Skill Version(s): 0.1.11 (source: server release evidence) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
{
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}Record generated Oct 11, 2026.
