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Workout

作者 gricha · GitHub ↗ · v1.1.0
cross-platform ✓ 安全检测通过
3250
总下载
4
收藏
8
当前安装
6
版本数
在 OpenClaw 中安装
/install workout
功能描述
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.
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install workout
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /workout 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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
元数据
Slug workout
版本 1.1.0
许可证
累计安装 8
当前安装数 8
历史版本数 6
常见问题

Workout 是什么?

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. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 3250 次。

如何安装 Workout?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install workout」即可一键安装,无需额外配置。

Workout 是免费的吗?

是的,Workout 完全免费(开源免费),可自由下载、安装和使用。

Workout 支持哪些平台?

Workout 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Workout?

由 gricha(@gricha)开发并维护,当前版本 v1.1.0。

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