Token导航 LogoToken导航TokenDH.com
研究检索需要联网clawhub未标认证来源可访问clear审计提醒

diet-tracker饮食追踪器

Agent Skill

diet-tracker 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

91,069

周安装

3,872

GitHub Stars

5

下载量

31,905
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:diet-tracker(饮食追踪器)
来源仓库:https://github.com/yonghaozhao722/diet-tracker
安装命令:
openclaw skills install diet-tracker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install diet-tracker

简介

追踪每日饮食并计算营养信息,帮助实现减肥目标。当用户提供膳食信息、询问卡路里摄入量等时使用

SKILL.md

name
diet-tracker
description
Tracks daily diet and calculates nutrition information to help achieve weight loss goals. Use when user provides meal information, asks about calorie intake, requests remaining calorie budget, or needs meal logging reminders. Automatically reminds user to log meals via cron job at lunch and dinner times.

Diet Tracker

This skill helps track daily diet and achieve weight loss goals with automated meal reminders.

Trigger Conditions

User might say:

  • "I had [food] for lunch/dinner"
  • "What's my remaining calorie budget?"
  • "How many calories have I eaten today?"
  • "Log my meal"
  • "Check my diet progress"

Or automatically triggered by cron job for meal reminders.

Cron Job Integration

This skill works with automated cron jobs:

  • Lunch reminder: ~12:30 (checks if lunch logged, sends reminder if not)
  • Dinner reminder: ~18:00 (checks if dinner logged, sends reminder if not)

Cron job system event: 饮食记录检查:午餐 or 饮食记录检查:晚餐

User Profile (Required)

The skill reads from USER.md:

  • Daily calorie target (default: 1650 kcal)
  • Macronutrient targets (protein/carbs/fat)
  • Height, weight, age, gender, activity level (for TDEE calculation)

Activity levels:

  • Sedentary (little or no exercise)
  • Lightly active (light exercise 1-3 days/week)
  • Moderately active (moderate exercise 3-5 days/week)
  • Very active (hard exercise 6-7 days/week)
  • Extra active (very hard exercise + physical job)

Workflow

When User Logs a Meal:

  1. Identify food items from user's description
  2. Fetch nutrition data via scripts/get_food_nutrition.py

- MUST GET: calories(kcal), protein(g), carbs(g), fat(g) - Searches web for calorie/protein/carbs/fat info - Falls back to references/food_database.json if needed - If complete nutrition data cannot be found, MUST clearly inform user of estimated values

  1. Update daily log via scripts/update_memory.py

- Saves to memory/YYYY-MM-DD.md - RECORD FORMAT: Food Name - XX kcal (P: XXg, C: XXg, F: XXg) - Calculates meal totals - Updates daily running totals

  1. Report to user:

- MUST REPORT: calories + protein/carbs/fat grams - Today's consumed / remaining calories - MUST REPORT: Remaining macronutrient budgets - Predicted weight change based on deficit/surplus

When User Asks for Status:

  1. Read current day's memory file
  2. Calculate totals consumed
  3. Report:

- Remaining calorie budget - Remaining protein/carbs/fat (if targets set) - Weight change prediction

Scripts

  • scripts/get_food_nutrition.py: Fetches nutrition info + calculates TDEE
  • scripts/update_memory.py: Updates daily memory file with meal data
  • references/food_database.json: Fallback database of common foods

Error Handling

Common Issues

Issue: "Cannot read USER.md" or missing user data

  • Cause: User profile not configured
  • Solution: Ask user for height, weight, age, gender, activity level, and calorie target

Issue: Nutrition lookup fails for uncommon foods

  • Cause: Food not found in online databases
  • Solution: Ask user for approximate calorie count or use similar food from database

Issue: Multiple food items in one meal

  • Cause: User says "I had pizza, salad, and coke"
  • Solution: Process each item separately, sum the nutrition values

Data Format

Daily Memory Entry (memory/YYYY-MM-DD.md)

REQUIRED FORMAT — Must include calories + macronutrients:

## Diet Log

**Breakfast**: [food] - [X] kcal (P: [X]g, C: [X]g, F: [X]g)
**Lunch**: [food] - [X] kcal (P: [X]g, C: [X]g, F: [X]g)
**Dinner**: [food] - [X] kcal (P: [X]g, C: [X]g, F: [X]g)

**Daily Total**: [X] / [target] kcal
- Protein: [X] / [target]g (remaining: [X]g)
- Carbs: [X] / [target]g (remaining: [X]g)
- Fat: [X] / [target]g (remaining: [X]g)
**Predicted weight change**: [-/+ X] kg

⚠️ Strictly prohibited to record only calories while omitting macronutrient grams!

Progressive Disclosure

  • Level 1 (frontmatter): Skill activation criteria
  • Level 2 (SKILL.md): Full workflow instructions (this file)
  • Level 3 (references/): Food database and nutrition guidelines

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.8%
按下载量换算28,970

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills