nihao

v1.0.0

生成今日菜单推荐。根据用户手头的食材、口味偏好、人数和烹饪时间, 从内置食材库和菜谱库中智能匹配,输出完整的菜单方案和分步烹饪指南。 当用户提到"今天吃什么""做什么菜""菜单""菜谱推荐""晚饭吃啥"等意图时触发。

0· 146·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for yequanzheng/self-improving-agen1.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "nihao" (yequanzheng/self-improving-agen1) from ClawHub.
Skill page: https://clawhub.ai/yequanzheng/self-improving-agen1
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install self-improving-agen1

ClawHub CLI

Package manager switcher

npx clawhub@latest install self-improving-agen1
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
Name/description describe a daily menu generator and the code + reference files implement that purpose (recipes, ingredients, matching). Minor inconsistencies: the package name reported as "nihao" while SKILL.md uses name "daily-menu"; registry slug/owner metadata (self-improving-agen1) looks unrelated to a cooking skill. SKILL.md says the agent should read references/*.md; the Python script embeds RECIPES and ALIASES inline rather than reading those files — functional but slightly inconsistent. None of the required env vars, binaries, or config paths are excessive for a recipe generator.
Instruction Scope
Runtime instructions are narrowly scoped to collecting user food/context and producing menus, reading the bundled reference files, matching recipes, and formatting output. The SKILL.md explicitly limits actions to local data and conversational prompts; it does not instruct reading system configs, secrets, or contacting external endpoints.
Install Mechanism
No install spec is provided (instruction-only), and code files are bundled with the skill. There is no download-from-URL, package installation, or external installer to review.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code and docs operate on bundled data files; no secret access is requested or needed.
Persistence & Privilege
The skill is not marked always:true and does not request elevated presence. There are no instructions to modify other skills or system-wide settings.
Assessment
This skill appears to do what it says: generate menus from bundled recipes and ingredient lists and does not ask for secrets or network access. However: (1) the skill source/homepage is missing — if you will execute the included Python script, review the full file to confirm there are no hidden network calls or arbitrary shell executions (the displayed portion looks purely local and data-driven). (2) Metadata mismatches (skill name vs SKILL.md vs registry slug) are minor but worth noting as a signal the package may have been renamed or repurposed. If you plan to enable the agent to run this skill, run it in a sandboxed environment first and avoid giving any sensitive tokens or credentials. If you need higher assurance, request the full unobfuscated source or provenance information from the publisher before installing.

Like a lobster shell, security has layers — review code before you run it.

latestvk9745hpnznsrsbb9k8b0qw8ewd835xha
146downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

今日菜单生成器

根据用户现有食材、口味偏好、就餐人数和可用时间,生成个性化菜单推荐和烹饪指南。

工作流程

第一步:了解用户需求

通过简短对话收集以下信息(缺失项用合理默认值):

信息项默认值说明
手头食材必问,至少确认 1~3 种主要食材
就餐人数2 人影响份量建议
口味偏好家常家常 / 清淡减脂 / 川湘重口 / 快手10分钟
可用时间60 分钟影响菜品复杂度
忌口/过敏如有则排除相关食材
菜品数量2~4 道根据人数自动建议

对话原则:

  • 不要一次问太多问题,最核心的是「你手头有什么食材?」
  • 如果用户只说了食材,其他用默认值直接推荐
  • 语气轻松友好,像朋友聊天一样

第二步:匹配菜谱

  1. 读取 references/ingredients.md 获取完整食材分类
  2. 读取 references/recipes.md 获取菜谱库
  3. 根据用户提供的食材,从菜谱库中匹配可做的菜品
  4. 考虑荤素搭配、营养均衡、烹饪难度

匹配规则:

  • 主料必须匹配(用户手头有的食材)
  • 常见调料(盐、酱油、醋、糖、料酒、蚝油等)默认家里有,不需要确认
  • 优先推荐主料完全匹配的菜,其次推荐只差 1~2 种配料的菜
  • 如果用户食材能做的菜不够,可以建议额外采购少量食材

第三步:输出菜单

使用以下格式输出:

## 🍽️ 今日菜单推荐

**就餐人数:** X 人 | **预计用时:** X 分钟 | **风格:** XXX

---

### 1. 菜名 ⭐
> 一句话点评这道菜的特点

**食材:**
- 主料:XXX
- 配料:XXX
- 调料:XXX

**做法:**
1. 第一步(附时间和火候)
2. 第二步
3. ...

**小贴士:** 实用烹饪技巧

---

### 2. 菜名
(同上格式)

---

## 📋 备菜清单

把所有菜需要的食材汇总,方便一次性准备:

| 分类 | 食材 | 用量 | 处理方式 |
|------|------|------|----------|
| 肉类 | ... | ... | ... |
| 蔬菜 | ... | ... | ... |

## ⏱️ 烹饪时间线

建议的做菜顺序和并行操作:
1. 先做 XX(耗时最长的先开始)
2. 在等待的同时准备 XX
3. 最后快炒 XX

第四步:后续互动

菜单输出后,主动询问:

  • 「要不要换掉某道菜?」
  • 「要不要看更详细的某道菜做法?」
  • 「还想加个汤/凉菜吗?」

口味风格指南

家常风格(默认)

  • 红烧、清炒、炖煮为主
  • 调味适中,老少皆宜
  • 代表菜:红烧肉、番茄炒蛋、清炒时蔬

清淡减脂

  • 少油少盐,以蒸、煮、白灼为主
  • 多蔬菜,蛋白质优先选鸡胸肉/鱼/虾/豆腐
  • 减少碳水,避免油炸
  • 标注估算热量

快手 10 分钟

  • 只推荐炒、拌、煮等快速烹饪方式
  • 食材处理简单(切丝切片为主)
  • 每道菜控制在 10 分钟以内

川湘重口味

  • 麻辣鲜香,重油重味
  • 豆瓣酱、辣椒、花椒、剁椒等调料
  • 代表菜:麻婆豆腐、辣子鸡、酸辣土豆丝

重要原则

  1. 实用优先:做法描述要具体到火候、时间、用量,不要含糊
  2. 荤素搭配:2 道菜以上时确保有荤有素
  3. 难度递进:多道菜时从简到难排列
  4. 时间合理:给出的总用时要考虑并行操作
  5. 食材不浪费:尽量用完用户提到的食材
  6. 安全第一:涉及生食(如三文鱼)要提醒新鲜度要求

Comments

Loading comments...