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gricha

Workout

by gricha · GitHub ↗ · v1.1.0
cross-platform ✓ Security Clean
3250
Downloads
4
Stars
8
Active Installs
6
Versions
Install in OpenClaw
/install workout
Description
Track workouts, log sets, manage exercises and templates with workout-cli. Supports multi-user profiles. Use when helping users record gym sessions, view history, or analyze strength progression.
Usage Guidance
This skill is internally consistent, but before installing or using it: (1) Confirm you have a legitimate 'workout' CLI installed and know its origin (package source, checksum, or vendor). If the binary is unknown, an attacker could place a malicious executable named 'workout' so the agent executes it. (2) Inspect the 'workout' binary's permissions and where it stores data (home dir, ~/.config, etc.) and whether it makes network calls or uploads data. (3) If you want to limit risk, run the CLI manually first to verify behavior, or allow the skill only when explicitly invoked (disable autonomous use in agent settings). (4) Because the skill logs exercise data, avoid entering sensitive information into notes. If you want, provide the vendor/source of the 'workout' binary and I can reassess with higher confidence.
Capability Analysis
Type: OpenClaw Skill Name: workout Version: 1.1.0 The skill bundle is designed to interface with a `workout` command-line interface (CLI) tool. All instructions in `SKILL.md` are focused on guiding the AI agent to correctly use the `workout` CLI for tracking workouts, managing exercises, and logging sets. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or harmful prompt injection attempts. The 'CRITICAL RULES' in `SKILL.md` serve as benign instructions for the agent to ensure accurate and effective use of the workout tracking functionality, aligning with the stated purpose.
Capability Assessment
Purpose & Capability
The name/description match the runtime requirements: the SKILL.md instructs the agent to call a 'workout' CLI to track workouts, profiles, templates and history. There are no unrelated environment variables, binaries, or features requested that don't fit a workout-tracking CLI.
Instruction Scope
SKILL.md contains concrete CLI commands and clear rules for logging (add unknown exercises first, ask for weights, etc.). It does not instruct the agent to read arbitrary files, environment variables, or send data to unexpected external endpoints. The scope stays within using the 'workout' CLI and interacting with the user about workout data.
Install Mechanism
This is instruction-only with no install spec (lower risk). However the skill requires a local 'workout' binary whose source is unknown; the agent will attempt to execute that binary. The security of the skill therefore depends on the trustworthiness of the installed 'workout' executable (its origin, permissions, and behaviour).
Credentials
No environment variables, credentials, or config paths are requested. That is appropriate for a CLI-focused workout logging tool.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system privileges. It does not instruct modifying other skills or system-wide agent settings. Autonomous invocation is allowed by default (platform standard) but the skill does not request extra persistence.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install workout
  3. After installation, invoke the skill by name or use /workout
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Add multi-user profile support; add undo/edit/delete commands for logged sets
v1.0.4
Critical rules: always add new exercises to library before logging, log accurate numbers (notes are metadata only), equipment-specific exercise variants
v1.0.3
Add workout binary requirement
v1.0.2
Use curl installer instead of manual clone/build
v1.0.1
Rename display name to workout
v1.0.0
Initial release: workout tracking with exercises, templates, notes, swap/add, history, PRs, volume analysis
Metadata
Slug workout
Version 1.1.0
License
All-time Installs 8
Active Installs 8
Total Versions 6
Frequently Asked Questions

What is Workout?

Track workouts, log sets, manage exercises and templates with workout-cli. Supports multi-user profiles. Use when helping users record gym sessions, view history, or analyze strength progression. It is an AI Agent Skill for Claude Code / OpenClaw, with 3250 downloads so far.

How do I install Workout?

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

Is Workout free?

Yes, Workout is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Workout support?

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

Who created Workout?

It is built and maintained by gricha (@gricha); the current version is v1.1.0.

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