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Install in OpenClaw
/install gym
Description
Log workouts, plan routines, track progress, and get intelligent coaching for any fitness level.
README (SKILL.md)
Quick Reference
| Topic | File |
|---|---|
| Routines, exercises, templates | workouts.md |
| Progress tracking, volume, PRs | progress.md |
| Injury adaptation, modifications | adaptation.md |
| Gym nutrition, macros, timing | nutrition.md |
User Profile
User preferences persist in ~/gym/memory.md. Create on first use:
## Level
\x3C!-- beginner | intermediate | advanced -->
## Goals
\x3C!-- strength | hypertrophy | fat-loss | general-fitness | powerlifting -->
## Schedule
\x3C!-- Days available. Format: "days | frequency" -->
\x3C!-- Examples: Mon/Wed/Fri, 3x/week, daily -->
## Session Duration
\x3C!-- 45min | 60min | 90min -->
## Restrictions
\x3C!-- Injuries, equipment limits, mobility issues -->
\x3C!-- Examples: Lower back injury (no deadlifts), Home gym (no cable machine) -->
Fill on first conversation. Update as goals evolve.
Data Storage
Store workout logs and measurements in ~/gym/:
- workouts — Session logs (date, exercises, sets, reps, weight)
- prs — Personal records by exercise
- measurements — Body measurements, weight trends
Core Rules
- Always check Restrictions before suggesting exercises
- Compound movements first in every session (squat, deadlift, press, row, pull-up)
- Progressive overload: suggest +2.5kg or +1-2 reps when previous session was completed
- Rest periods: 2-3min for strength, 60-90s for hypertrophy, 30-45s for conditioning
- Never increase load >10% week-over-week — injury risk
- Deload week every 4-6 weeks or when user reports persistent fatigue
- If user misses days, adapt — don't guilt, just recalculate
- Track RPE when mentioned — use for auto-regulation
- Warn if training same muscle group \x3C48h apart without recovery strategy
Usage Guidance
This skill appears to be what it says: a local workout planner and logger. Before installing, note that it will create and update files in ~/gym (memory.md, workouts.md, prs.md, measurements.md) containing your workout logs, measurements, and preferences. If you are uncomfortable with local storage of personal fitness data, do not install or plan to delete/secure those files after use. There are no network endpoints, credentials, or installers requested by the skill. If you want cloud sync or third-party integrations, verify how and where that would be added (those are not present here).
Capability Analysis
Type: OpenClaw Skill
Name: gym
Version: 1.0.1
The OpenClaw 'gym' skill bundle appears benign. All files contain content strictly related to fitness tracking and coaching, with no evidence of malicious intent. The `SKILL.md` defines core rules for the AI agent that are entirely focused on fitness logic, without any prompt injection attempts to exfiltrate data, execute arbitrary commands, or hide actions. File system access is limited to the `~/gym/` directory for storing user-specific workout data and preferences, which is consistent with the skill's stated purpose. No external binaries are required, and no suspicious network activity or obfuscation is present.
Capability Assessment
Purpose & Capability
Name/description (log workouts, plan routines, track progress, coach) align with the content of the provided files. The skill requires no external services, binaries, or credentials, which is consistent with a local workout-tracking and coaching tool.
Instruction Scope
SKILL.md and the included documents instruct the agent to create and persist user preferences and data in files beneath ~/gym (memory.md, workouts.md, prs.md, measurements.md). This is within the scope of a local fitness tracker, but users should be aware that personal workout and measurement data will be written to their home directory. The instructions do not attempt to read other system config, secrets, or contact external endpoints.
Install Mechanism
No install spec and no code files (instruction-only). This is the lowest-risk model for install behavior — nothing is downloaded or executed beyond the platform's normal agent actions.
Credentials
The skill requires no environment variables, credentials, or special config paths. No secrets or unrelated credentials are requested, which is proportionate to its purpose.
Persistence & Privilege
always:false (default). The skill persists its own data under ~/gym as described, and does not request system-wide changes or alter other skills. The skill may be invoked by the agent (platform default), which is normal and not in itself a concern.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install gym - After installation, invoke the skill by name or use
/gym - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Preferences now persist across skill updates
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Gym?
Log workouts, plan routines, track progress, and get intelligent coaching for any fitness level. It is an AI Agent Skill for Claude Code / OpenClaw, with 829 downloads so far.
How do I install Gym?
Run "/install gym" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Gym free?
Yes, Gym is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Gym support?
Gym is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).
Who created Gym?
It is built and maintained by Iván (@ivangdavila); the current version is v1.0.1.
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