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joeyxin-del

GymBuddy

by joeyxin-del · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install gymbuddy
Description
懂生物力学与周期化训练的健身搭子:体态纠偏、身体成分与训练数据分析、长期计划设计与 TDEE 估算。 在用户提及健身搭子、GymBuddy、训练计划、体态、圆肩、骨盆前倾、增肌减脂或周期化安排时使用。
README (SKILL.md)

\r \r

GymBuddy(健身搭子)\r

\r 执行根目录:所有相对路径以本 SKILL.md 所在目录为准;运行 Bash 时不要随意 cd 到猜测的全局路径。\r \r

触发条件(Boot)\r

\r 当用户呼叫「健身搭子」或「GymBuddy」,或深入讨论训练、体态纠正、身体数据与营养能量估算时,激活此人格。\r \r 优先检索 data/knowledge/ 下的专业资料;回答涉及可检索到的具体原则、动作或建议时,必须标注来源文件名(如:anatomy_trains.md)。若资料未覆盖,应明确说明依据不足,并给出保守、通用的安全建议;涉及疼痛、损伤或疾病须建议就医或线下评估。\r \r

执行顺序\r

\r

  1. 阅读本 SKILL.md。\r
  2. 使用 Read 加载 prompts/persona.mdprompts/expert_sop.md。\r
  3. 按问题主题 Read data/knowledge/ 中最相关的 .md;若文件较多,可先 Read data/index/knowledge_chunks.jsonl(在本地运行 python build_index.py 生成)以定位章节与文件。\r
  4. 需要数值化 TDEE 时,用下表命令调用脚本,并向用户解释参数含义。\r \r

工具\r

\r | 任务 | 说明 |\r |------|------|\r | 每日总消耗 TDEE | python tools/fitness_calc.py --weight \x3Ckg> --height \x3Ccm> --age \x3Cy> --gender male\|female --activity \x3C1.2-1.9> |\r | 重建知识分块索引 | python build_index.py(输出 data/index/knowledge_chunks.jsonl,便于按章节检索) |\r \r activity:久坐约 1.2,轻度 1.375,中度 1.55,重体力/运动员可达 1.7251.9(按用户实情解释)。\r \r

能力标签(扩展元数据)\r

\r

  • body_composition_analysis:身体成分与数据解读 \r
  • posture_recognition:体态与动作模式(非医学影像诊断) \r
  • periodized_training_plan:周期化训练框架设计 \r \r framework_version: 2.0\r \r

医疗免责\r

\r 本 Skill 不构成医疗诊断或处方;急性疼痛、神经症状、心血管问题或孕期等特殊人群应优先遵循执业医师指导。\r

Usage Guidance
This appears safe to use as a local fitness-planning assistant. Before installing, remember it can run its bundled Python helpers and write a local index file, and treat its fitness guidance as informational rather than medical advice.
Capability Analysis
Type: OpenClaw Skill Name: gymbuddy Version: 1.0.0 The GymBuddy skill bundle is a legitimate fitness assistant toolset. The included Python scripts (build_index.py and tools/fitness_calc.py) use only standard libraries to perform local data indexing and TDEE calculations, with no evidence of network activity, data exfiltration, or obfuscation. The SKILL.md and prompt files contain standard instructions for persona adoption and knowledge retrieval without any malicious prompt-injection attempts or unauthorized command execution.
Capability Assessment
Purpose & Capability
The stated fitness, posture, training-plan, and TDEE purposes match the bundled prompts, local knowledge files, and TDEE helper script; the skill also includes medical-disclaimer guidance.
Instruction Scope
SKILL.md declares `allowed-tools: Read, Bash, Write, Edit` and documents local Python commands. This is disclosed and scoped to bundled scripts, but users should notice the local command/write capability.
Install Mechanism
Metadata says `Source: unknown` and `Homepage: none`. There is no install script or remote dependency, and README states the scripts use only the Python standard library, but provenance is limited.
Credentials
The included code uses fixed paths under the skill directory, reads bundled `data/knowledge/*.md`, writes a local generated index, and shows no network, credential, or broad filesystem behavior.
Persistence & Privilege
The only persistent artifact shown is the generated `data/index/knowledge_chunks.jsonl` index from bundled knowledge files; there are no background workers, startup hooks, credential stores, or autonomous persistence mechanisms.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install gymbuddy
  3. After installation, invoke the skill by name or use /gymbuddy
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Version 1.1.0 introduces major enhancements for clearer usage and safety: - Refined activation triggers to respond to terms like "健身搭子", "GymBuddy", and related fitness topics. - Requires referencing source filenames (e.g., `anatomy_trains.md`) for all expert advice where possible. - Provides step-by-step process instructions for data lookup, answer formulation, and safe fallback responses. - Adds TDEE estimation commands and detailed parameter explanations. - Lists core skills (body composition analysis, posture recognition, periodized training planning) and states medical disclaimer.
Metadata
Slug gymbuddy
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is GymBuddy?

懂生物力学与周期化训练的健身搭子:体态纠偏、身体成分与训练数据分析、长期计划设计与 TDEE 估算。 在用户提及健身搭子、GymBuddy、训练计划、体态、圆肩、骨盆前倾、增肌减脂或周期化安排时使用。 It is an AI Agent Skill for Claude Code / OpenClaw, with 38 downloads so far.

How do I install GymBuddy?

Run "/install gymbuddy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is GymBuddy free?

Yes, GymBuddy is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does GymBuddy support?

GymBuddy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created GymBuddy?

It is built and maintained by joeyxin-del (@joeyxin-del); the current version is v1.0.0.

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