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Install in OpenClaw
/install fitdietkernel
Description
健身饮食的个人知识库 - 让AI精准帮你算饮食（碳循环/生酮/增肌/减脂）
README (SKILL.md)
FitDietKernel 🏋️
健身饮食的个人知识库，让 AI 成为你的精准饮食教练
功能
- 🔢 精准碳水计算（按体重动态计算）
- 🍚 食物注册（10g 碳水等值换算）
- 📊 误差追踪（±10g 安全线）
- 📋 自动打卡记录
- 📈 周报生成
计算公式
碳循环
低碳日 = 体重 × 1.0g
中碳日 = 体重 × 1.5g
高碳日 = 体重 × 3.0g
蛋白 = 体重 × 1.5~2.0g
脂肪 = 剩余热量
食物换算 (10g 碳水)
| 食材 | 分量 |
|---|---|
| 燕麦 | 16g (干) |
| 意面 | 13g (干) |
| 杂粮馒头 | 0.5个 |
| 蓝莓 | 72g |
| 红薯 | 50g |
使用方法
- 克隆仓库到本地
- 修改
profile.json配置你的体重、目标 - 告诉 AI 知识库路径，让它读取数据
你是一个精准饮食教练，接入了 FitDietKernel。
数据路径：~/fitdietkernel/
Usage Guidance
This skill appears to be what it claims: a local personal diet knowledge base with JSON/markdown data, small GUI scripts, and a report generator. Before installing: 1) verify the repository source (README references a GitHub repo); 2) be aware the skill expects the agent to read and possibly write files in the repository (profile.json, food_registry.json, logs, weekly_report) — if you don't want automatic edits, don't grant write access to the agent or back up the folder; 3) the SKILL.md/logic files say the AI will 'auto-update' the food registry, but that behavior is an instruction-level expectation (no dedicated update API is bundled), so review any agent code that will perform those edits; 4) there are no hidden network endpoints or credential requests in the provided files, but if you install via third-party installers (npx/clawhub) confirm those packages and sources first; 5) running GUI/desktop scripts should be done in a safe environment if you are unsure (e.g., isolated VM) — otherwise the skill is coherent and low risk.
Capability Analysis
Type: OpenClaw Skill
Name: fitdietkernel
Version: 1.0.1
The bundle is a comprehensive fitness and diet management toolkit designed for 'carbon cycling' protocols. It includes multiple GUI implementations (using Tkinter, PySimpleGUI, and CustomTkinter), a web interface, and a report generator script. The code and instructions (SKILL.md, logic_rules.md) are consistently focused on calculating macros, tracking weight, and logging meals locally. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; all file operations are restricted to the application's own data and logs.
Capability Assessment
Purpose & Capability
Name/description match the included files: knowledge_base JSON/MD, profile.json, GUIs, and a report generator. No unrelated credentials, binaries, or platform APIs are required. The code and docs are all about diet tracking and macros.
Instruction Scope
SKILL.md explicitly tells the agent to read the local repository (profile.json, knowledge_base/*.json, logs/*.md) and to update/register new foods. Reading and (per instructions) updating local files is expected for a local knowledge-base, but it means the agent needs filesystem access and is expected to write changes to that repo. Also: SKILL.md/logic_rules state the AI will 'auto update food_registry.json' but the shipped Python scripts do not include an explicit API to perform that edit — the update would be performed by whatever agent code you allow to write files.
Install Mechanism
There is no install spec in the registry (instruction-only), but the bundle includes code and a README that suggests git clone or an npx clawhub installer. No remote download/install URLs or extract-from-URL steps are present in the package itself; risk from install mechanism is low if you clone from a trusted source. If you use the npx method, verify the clawhub package and the source repo first.
Credentials
The skill requests no environment variables, credentials, or config paths. Its data access is limited to local files in the repo (profile, knowledge_base, logs, output reports), which is proportionate to a personal diet knowledge-base.
Persistence & Privilege
The skill is not marked 'always'. It expects to read and (per docs) write local files (food_registry.json, logs, weekly_report). This is a normal level of privilege for a local knowledge-base, but installing it will put code and data on disk and the AI (if granted filesystem write) could modify those files.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install fitdietkernel - After installation, invoke the skill by name or use
/fitdietkernel - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
FitDietKernel 1.0.1 introduces desktop application support.
- Added multiple desktop app interface files (Python and HTML) to enable local GUI use.
- Introduced a setup.py file for easier installation.
- Updated knowledge_base/rules.md with new or revised content.
v1.0.0
- Initial release of FitDietKernel: a personal knowledge base for fitness nutrition.
- Features precise carb calculation based on body weight.
- Supports food registration and 10g carb equivalence conversion.
- Includes error tracking (±10g safety margin), automatic check-in records, and weekly reports.
- Provides formulas for carb cycling, protein, and fat calculations.
- Easy setup with personalized configuration through `profile.json`.
Metadata
Frequently Asked Questions
What is FitDietKernel?
健身饮食的个人知识库 - 让AI精准帮你算饮食（碳循环/生酮/增肌/减脂）. It is an AI Agent Skill for Claude Code / OpenClaw, with 134 downloads so far.
How do I install FitDietKernel?
Run "/install fitdietkernel" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is FitDietKernel free?
Yes, FitDietKernel is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does FitDietKernel support?
FitDietKernel is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created FitDietKernel?
It is built and maintained by yibinpro (@yibinpro); the current version is v1.0.1.
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