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习惯养成打卡

作者 786793119 · GitHub ↗ · v1.0.0 · MIT-0
linuxdarwinwin32 ⚠ suspicious
200
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在 OpenClaw 中安装
/install habit-tracker-companion
功能描述
习惯养成打卡助手,连续激励、数据统计、陪你养成好习惯。
使用说明 (SKILL.md)

习惯养成打卡 (Habit Tracker Companion)

陪你养成好习惯的打卡助手。

功能

  • 添加新习惯
  • 打卡记录
  • 连续打卡天数统计
  • 完成率数据分析
  • 连续激励(里程碑鼓励)

使用示例

# 添加习惯
python habit-tracker-companion.py add_habit "每天喝水" "每天喝8杯水"

# 打卡
python habit-tracker-companion.py check_in 1

# 查看连续天数
python habit-tracker-companion.py get_streak 1

# 查看统计
python habit-tracker-companion.py get_stats 1

数据存储

  • 习惯数据: ~/.memory/habits/habits.json

By Miya - 2026

安全使用建议
This skill's instructions expect you to run a local Python script (habit-tracker-companion.py) that is not included. Before installing or invoking: 1) Do not run the commands until you can review the script source—ask the publisher for the code or a link to the exact file. 2) If you obtain the script, inspect it for network calls, secrets access, or destructive operations. 3) Consider running it in a sandbox or container and back up your home data; the skill will read/write ~/.memory/habits/habits.json. 4) If you can't get the script source from a trusted repository, treat this skill as unsafe to run because executing an unknown Python script can execute arbitrary code.
功能分析
Type: OpenClaw Skill Name: habit-tracker-companion Version: 1.0.0 The skill bundle contains metadata and documentation for a habit-tracking utility. The SKILL.md file provides standard usage examples for a CLI tool and specifies local data storage in ~/.memory/habits/habits.json, with no evidence of malicious instructions, prompt injection, or suspicious behavior.
能力评估
Purpose & Capability
Name and features (add habit, check-in, stats, streaks) align with a habit-tracker. Requesting python3 as a binary is proportional. However, the SKILL.md expects a local script (habit-tracker-companion.py) to exist and be executed; no such code is bundled or installed by the skill, which is an incoherence between claimed capability and provided artifacts.
Instruction Scope
Instructions explicitly tell the agent to run 'python habit-tracker-companion.py' with various commands and to read/write ~/.memory/habits/habits.json. That file-path access is reasonable for a tracker, but directing execution of a local script that the skill does not supply is risky: the agent (or user) might run an unknown script already present on disk or must obtain it from an unspecified source. The SKILL.md does not explain how the script is provided, fetched, or verified.
Install Mechanism
No install spec is present (instruction-only). This is low-risk from an automatic-install perspective since nothing will be downloaded or written by an installer. The only requirement is python3 being available on PATH.
Credentials
The skill requests no environment variables or credentials. It uses a per-user path (~/.memory/habits/habits.json) for storage, which is consistent with a local habit tracker and is proportionate to the described functionality.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or system-wide settings. It can be invoked by the agent (normal). There is no indication of elevated persistence or cross-skill configuration access.
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 habit-tracker-companion
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /habit-tracker-companion 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
v1.0.0
Initial release of habit-tracker-companion: - Add, track, and manage new habits. - Record daily check-ins for each habit. - Monitor streaks and view statistics, including completion rates. - Receive milestone-based motivational feedback. - Local data storage in `~/.memory/habits/habits.json`.
元数据
Slug habit-tracker-companion
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

习惯养成打卡 是什么?

习惯养成打卡助手,连续激励、数据统计、陪你养成好习惯。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 200 次。

如何安装 习惯养成打卡?

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

习惯养成打卡 是免费的吗?

是的,习惯养成打卡 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

习惯养成打卡 支持哪些平台?

习惯养成打卡 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 习惯养成打卡?

由 786793119(@786793119)开发并维护,当前版本 v1.0.0。

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