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Track
作者
ProjectSnowWork
· GitHub ↗
· v1.0.0
· MIT-0
322
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install track
功能描述
Habit, goal, and progress tracking system with visual progress and accountability. Use when user mentions tracking habits, goals, progress, streaks, or accou...
安全使用建议
This package appears to implement only a basic local habit-logging script while advertising a much larger tracking system. Before installing: (1) ask the publisher for the missing scripts and reference files (view_trends.py, update_goal.py, check_streaks.py, etc.) and review them for network calls or credential use; (2) confirm you are comfortable with data being stored under ~/.openclaw/workspace/memory/track (hidden folder in your home) or change the path to a location you control; (3) inspect any future versions for added install steps or downloads — adding external dependencies is where risk usually appears; (4) if you only need simple local logging, this single script looks harmless, but do not install or enable it expecting full goal/visualization features until the other components are provided and reviewed.
功能分析
Type: OpenClaw Skill
Name: track
Version: 1.0.0
The 'track' skill bundle is a standard habit and goal tracking utility that operates entirely locally. The analyzed script, `track_habit.py`, implements basic JSON logging to a local workspace directory (~/.openclaw/workspace/memory/track) without any network requests, external dependencies, or suspicious execution logic. The SKILL.md instructions are well-aligned with the stated purpose and explicitly emphasize local data storage and privacy.
能力评估
Purpose & Capability
The name/description (habit/goal tracking, visualization, reminders) matches the included track_habit.py which logs habit entries locally. However the SKILL.md promises multiple other scripts (update_goal.py, view_trends.py, check_streaks.py, create_habit.py, set_goal.py, export_data.py) and reference files (references/*.md) that are not present. The single script can legitimately support basic logging, but the larger advertised feature set is not implemented here.
Instruction Scope
Runtime instructions reference multiple scripts and a storage location 'memory/track/' while the included script writes to ~/.openclaw/workspace/memory/track. The instructions do not direct reading of unrelated files or network calls, but they assume many scripts and reference docs that are missing — this is scope creep and makes the runtime behavior unclear.
Install Mechanism
No install spec — instruction-only with one bundled script. Nothing is downloaded or written to system locations beyond creating a directory in the user's home; this is low-risk from an install perspective.
Credentials
No environment variables, no credentials, and the script operates on local files only. Requested permissions are proportional to a local habit-logging tool. The script writes to a path under the user's home (~/.openclaw/workspace/memory/track).
Persistence & Privilege
Skill is not marked always:true, does not modify other skills, and contains no autonomous persistence mechanisms. It simply creates and writes JSON files to a local directory.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install track - 安装完成后，直接呼叫该 Skill 的名称或使用
/track触发 - 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
v1.0.0
Initial release: Habit tracking, goal progress monitoring, streak maintenance, and accountability systems
元数据
常见问题
Track 是什么？
Habit, goal, and progress tracking system with visual progress and accountability. Use when user mentions tracking habits, goals, progress, streaks, or accou... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 322 次。
如何安装 Track？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install track」即可一键安装，无需额外配置。
Track 是免费的吗？
是的，Track 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Track 支持哪些平台？
Track 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 Track？
由 ProjectSnowWork（@projectsnowwork）开发并维护，当前版本 v1.0.0。
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