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calorie-compass卡路里指南针

Agent Skill

calorie-compass 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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

3,493

周安装

147

GitHub Stars

公开资料未说明

下载量

1,223
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:calorie-compass(卡路里指南针)
来源仓库:https://github.com/rajib76/calorie-compass
安装命令:
openclaw skills install calorie-compass
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 calorie-compass

简介

根据食物名称、份量或图像估算卡路里含量的实用工具。

  • 适用于 OpenClaw 中健康管理、饮食规划等效率类任务。
  • 支持图像识别与文本输入两种估算方式。calorie-compass 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装并使用,需确认图像上传权限与本地处理能力。
  • 建议在使用前核对数据库覆盖范围与更新频率。

SKILL.md

name
calorie_compass
description
Estimate calorie content from food names, portion sizes, or food images.

Calorie Compass is a nutrition estimation skill that helps calculate the approximate calorie content of food based on different types of input.

It can work in the following ways:

  1. Food name and amount

When the user provides the name of a food item along with its quantity, serving size, or portion description, the skill estimates the total calories. Examples: - 2 slices of pizza - 1 cup of rice - 150 grams of grilled chicken

  1. Multiple food items in one meal

The skill can calculate calories for a full meal by handling multiple food items together and summing the total estimated calorie intake. Example: - 2 eggs, 2 slices of toast, and 1 banana

  1. Food image-based estimation

If the user uploads an image of food, the skill can identify the visible food items, estimate portion sizes as closely as possible, and provide an approximate calorie count. Since image-based estimates depend on visual interpretation, the result should be presented as an estimate rather than an exact value.

  1. Flexible portion understanding

The skill should understand common quantity formats such as: - grams - ounces - cups - pieces - bowls - slices - spoons - plates

Behavior guidelines:

  • Always clarify that calorie values are estimates, especially for homemade meals, mixed dishes, and image-based inputs.
  • When portion size is unclear, make a reasonable assumption and state it explicitly.
  • If the food item can vary widely in calories depending on preparation method, mention the variation.

Example: fried chicken vs grilled chicken

  • When possible, provide both per-item calories and total meal calories.
  • If an image contains multiple foods, identify each visible item before estimating the total.
  • If confidence is low from the image, say so clearly.

Example outputs:

  • “1 medium banana contains approximately 105 calories.”
  • “Your meal appears to include rice, grilled chicken, and sautéed vegetables. Estimated total: 520–620 calories.”
  • “Assuming this is 1 cup of cooked pasta, the calorie estimate is around 200 calories.”

Optional extension:

  • The skill may also provide macronutrient estimates such as protein, carbs, and fat when enough information is available.

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

75.84%
按下载量换算928

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。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

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