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ivangdavila

Calorie Tracker

作者 Iván · GitHub ↗ · v1.0.1
cross-platform ✓ 安全检测通过
1038
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2
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1
当前安装
2
版本数
在 OpenClaw 中安装
/install calories
功能描述
Track calories and macros conversationally. Auto-adapts to your goals and style.
使用说明 (SKILL.md)

Auto-Adaptive Calorie Tracking

This skill auto-evolves. Works for weight loss, muscle building, maintenance, or just curiosity.

Rules:

  • FIRST: screen for contraindications — ED history, pregnancy, diabetes, eating disorders → redirect to professional
  • Photos are best — encourage "send me a photo of your meal" for better estimates
  • Accept text too — "had pasta for lunch" works, estimates are rough (±20-30%)
  • If description vague, suggest photo: "Can you snap a pic?"
  • ONE clarifying question max if needed
  • Never encourage precision obsession — weighing food, exact grams → gently discourage
  • Adapt to user goal: weight loss (moderate tracking) vs casual (just log, no pressure)
  • Focus on weekly trends, not daily numbers — consistency beats precision
  • No food moralizing — no "good/bad" foods, no guilt, no praising low days
  • CALORIE FLOOR: never set targets below 1200 (women) / 1500 (men) without professional oversight
  • If user consistently logs very low: flag concern, suggest professional help
  • If eating disorder signs: stop tracking, redirect to NEDA (1-800-931-2237)
  • Build personal library: save label scans, repeat meals, home recipes
  • Home vs restaurant: ask context, adjust estimates accordingly
  • Conservative estimates: round UP for weight loss, DOWN for muscle gain
  • Check goals.md for tracking styles, safety.md for contraindications, estimation.md for calculation framework

Memory Storage

User data persists in ~/calories/memory.md. Create on first use if it doesn't exist.

Format:

# Calorie Tracker Memory

## Sources
\x3C!-- Where data comes from. Format: "source: what" -->

## Goal
\x3C!-- Their tracking goal. Format: "goal" -->
\x3C!-- Examples: weight loss (moderate deficit), maintenance, muscle (+surplus) -->

## Targets
\x3C!-- Daily targets if set. Format: "target" -->
\x3C!-- Examples: ~2000 cal, flexible, protein focus -->

## Patterns
\x3C!-- Eating patterns observed. Format: "pattern" -->

## Preferences
\x3C!-- How they want to track. Format: "preference" -->
\x3C!-- Examples: photos only, weekly summary, no daily numbers -->

## Library
\x3C!-- Saved foods for quick reuse. Format: "food: calories" -->
\x3C!-- Examples: Hacendado yogurt: 120, Morning coffee: 50, Homemade pasta: 450 -->

Empty sections = no data yet. Observe and fill.

Not for: Pregnancy/breastfeeding, diabetes without doctor supervision, eating disorders (current or history), under 18, BMI \x3C18.5. This is educational only, not medical or nutritional advice. Estimates are approximate. If struggling with food, help is available: NEDA 1-800-931-2237.

安全使用建议
This skill appears coherent and does what it says, but before installing consider: (1) it will create and maintain a local file at ~/calories/memory.md and cache images/label scans — review where your platform stores that file and who can access it; (2) photos can contain sensitive metadata (location, faces) and the skill does not mention stripping EXIF or encrypting data; (3) it explicitly avoids tracking for contraindicated populations (pregnancy, eating disorders, diabetes) — do not use it for clinical care; (4) if you are concerned about privacy, test with non-sensitive example entries, periodically review or delete ~/calories/memory.md, and confirm your platform’s image-handling/privacy policies. Overall the skill is internally consistent, not requesting unrelated privileges or external credentials.
功能分析
Type: OpenClaw Skill Name: calories Version: 1.0.1 The OpenClaw AgentSkills bundle for 'calories' is benign. All files (SKILL.md, estimation.md, goals.md, safety.md) contain instructions and documentation strictly related to calorie tracking, including extensive safety protocols and disclaimers. The skill stores user data locally in `~/calories/memory.md`, which is a standard and expected behavior for a skill requiring persistence, and is not indicative of malicious intent or data exfiltration. There are no signs of prompt injection attacks, malicious execution, persistence mechanisms, or obfuscation.
能力评估
✓ Purpose & Capability
Name/description (calorie and macro tracking, adaptive to goals) align with the instructions and supporting docs: photo-first estimation, text fallback, goal adaptation, and a personal library. No unexpected credentials, binaries, or cloud-host references are required.
ℹ Instruction Scope
The runtime instructions direct the agent to ask for photos/text, estimate calories, and save user-specific data (library, preferences, targets). This is within scope for a tracker, but the skill explicitly says it will 'build library silently' and persist label scans and repeat meals — meaning it will store potentially sensitive user-provided images/text locally. There is no instruction to transmit data off-device, nor to read unrelated system files, but the privacy implications of saving images/labels are worth noting.
✓ Install Mechanism
No install spec and no code files — instruction-only — so nothing is downloaded or written to disk by an installer. Risk from installation mechanism is minimal.
✓ Credentials
The skill requests no environment variables, credentials, or external config paths. The lack of required secrets is proportional to the stated purpose.
ℹ Persistence & Privilege
The skill requests permission to create and maintain a local memory file at ~/calories/memory.md and to cache/retain label scans and saved recipes. This is reasonable for functionality, but it does grant persistent local storage of user-provided images and logs — users should be aware that data will be stored on disk and persists across updates ('Preferences now persist across skill updates').
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install calories
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /calories 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
Preferences now persist across skill updates
v1.0.0
Initial release
元数据
Slug calories
版本 1.0.1
许可证 —
累计安装 1
当前安装数 1
历史版本数 2
常见问题

Calorie Tracker 是什么？

Track calories and macros conversationally. Auto-adapts to your goals and style. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1038 次。

如何安装 Calorie Tracker？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install calories」即可一键安装，无需额外配置。

Calorie Tracker 是免费的吗？

是的，Calorie Tracker 完全免费（开源免费），可自由下载、安装和使用。

Calorie Tracker 支持哪些平台？

Calorie Tracker 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Calorie Tracker？

由 Iván（@ivangdavila）开发并维护，当前版本 v1.0.1。

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