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Install in OpenClaw
/install ranked-gym
Description
Gamify your gym sessions with XP, levels, achievements, and workout streaks
Usage Guidance
This skill appears internally consistent and low-risk, but before installing check: (1) the skill author/source is unknown — prefer skills with a verifiable homepage or repo; (2) ask how and where the leaderboard and achievements are stored (local file path, agent memory, or a cloud service) to ensure data truly stays local; (3) verify the agent will not ask for unrelated permissions (cloud API keys, access to other accounts, or broad filesystem access) when you enable persistent storage; and (4) if you care about privacy, test with dummy data first and confirm there are no unexpected network calls or uploads.
Capability Analysis
Type: OpenClaw Skill
Name: ranked-gym
Version: 1.0.0
The provided files contain only metadata and markdown documentation for an OpenClaw skill. There is no executable code, no evidence of data exfiltration, malicious execution, persistence, or obfuscation. The `SKILL.md` explicitly states that 'All data stays local on your machine' with 'zero cloud uploads', which is a positive security indicator. The instructions for the AI agent are entirely aligned with the stated purpose of gamifying gym sessions and do not contain any prompt injection attempts to subvert the agent's behavior for malicious ends.
Capability Assessment
Purpose & Capability
Name and description (gamify workouts with XP, ranks, achievements, streaks) align with what's present: no binaries, no env vars, no installs, and no unexpected capabilities requested.
Instruction Scope
SKILL.md is a high-level specification of features and user prompts rather than concrete runtime commands. It explicitly states data stays local, but does not specify how persistence is implemented (local files, agent memory, or another mechanism), which leaves room for varied implementations that the user should verify.
Install Mechanism
No install spec and no code files — lowest-risk model for disk writes or external downloads.
Credentials
Requires no environment variables, credentials, or config paths; requested permissions are proportional to the described purpose.
Persistence & Privilege
always is false and the skill does not request system-wide config changes. It does imply persistent local state (leaderboard, achievements) but does not request elevated privileges or cross-skill modifications.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ranked-gym - After installation, invoke the skill by name or use
/ranked-gym - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Ranked Gym.
- Gamifies workouts with XP, levels, ranks, achievements, and streaks.
- Provides a progression system from Bronze to Master rank based on workout activity.
- Tracks and displays workout streaks, achievements, and a persistent leaderboard.
- All fitness data remains local for privacy—no cloud uploads or ads.
Metadata
Frequently Asked Questions
What is Ranked Gym?
Gamify your gym sessions with XP, levels, achievements, and workout streaks. It is an AI Agent Skill for Claude Code / OpenClaw, with 1866 downloads so far.
How do I install Ranked Gym?
Run "/install ranked-gym" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ranked Gym free?
Yes, Ranked Gym is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Ranked Gym support?
Ranked Gym is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ranked Gym?
It is built and maintained by jhillin8 (@jhillin8); the current version is v1.0.0.
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