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HabitTracker Conversational Habit Tracking

Name: HabitTracker Conversational Habit Tracking
Author: theshadowrose

作者 Shadow Rose · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

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在 OpenClaw 中安装

/install habit-tracker-sr

功能描述

Track daily habits through agent conversation. Streaks, reminders, weekly reports. Did you exercise today? With accountability.

使用说明 (SKILL.md)

HabitTracker Conversational Habit Tracking

Track daily habits through agent conversation. Streaks, reminders, weekly reports. Did you exercise today? With accountability.

Track habits by talking to your agent. No app switching, no manual logging.

How It Works

Agent: "Morning check-in: Exercise? Water? Reading?"
You: "Ran 3 miles, drank 64oz, no reading"
Agent: "Logged. Exercise: 🔥 12-day streak! Reading: streak broken at 5."

Setup

habits:
  - name: exercise
    frequency: daily
    prompt: "Did you exercise today?"
    streak_emoji: "🔥"
  - name: water
    frequency: daily
    unit: oz
    target: 64
  - name: reading
    frequency: daily
    target: 30  # minutes

check_in_time: "08:00"
evening_review: "21:00"

Features

Conversational logging — no forms, just chat
Streak tracking — current and longest streaks
Smart reminders — evening ping for missed habits
Weekly report — completion rates, trends
Flexible frequency — daily, weekdays, 3x/week, custom
Trend analysis — "Your exercise consistency dropped this week"

Weekly Report

📊 Weekly Habits — Feb 22-28

Exercise:  ██████░ 6/7 (86%) 🔥 18-day streak
Water:     ███████ 7/7 (100%) 🔥 31-day streak
Reading:   ████░░░ 4/7 (57%) streak: 2 days

Overall: 68% (up from 61% last week)

⚠️ Disclaimer

This software is provided "AS IS", without warranty of any kind, express or implied.

USE AT YOUR OWN RISK.

The author(s) are NOT liable for any damages, losses, or consequences arising from the use or misuse of this software — including but not limited to financial loss, data loss, security breaches, business interruption, or any indirect/consequential damages.
This software does NOT constitute financial, legal, trading, or professional advice.
Users are solely responsible for evaluating whether this software is suitable for their use case, environment, and risk tolerance.
No guarantee is made regarding accuracy, reliability, completeness, or fitness for any particular purpose.
The author(s) are not responsible for how third parties use, modify, or distribute this software after purchase.

By downloading, installing, or using this software, you acknowledge that you have read this disclaimer and agree to use the software entirely at your own risk.

DATA DISCLAIMER: This software processes and stores data locally on your system. The author(s) are not responsible for data loss, corruption, or unauthorized access resulting from software bugs, system failures, or user error. Always maintain independent backups of important data. This software does not transmit data externally unless explicitly configured by the user.

Support & Links


🐛 Bug Reports	[email protected]
☕ Ko-fi	ko-fi.com/theshadowrose
🛒 Gumroad	shadowyrose.gumroad.com
🐦 Twitter	@TheShadowyRose
🐙 GitHub	github.com/TheShadowRose
🧠 PromptBase	promptbase.com/profile/shadowrose

Built with OpenClaw — thank you for making this possible.

🛠️ Need something custom? Custom OpenClaw agents & skills starting at $500. If you can describe it, I can build it. → Hire me on Fiverr

安全使用建议

This skill appears coherent and self-contained, but review the following before installing: 1) It writes habit data to a local JSON file by default at ./habits-data.json — confirm the agent's working directory and move or rename the dataFile option if you don't want data stored there. 2) The module swallows file read/write errors (no reporting) so ensure you have backups if the data is important. 3) If you run the agent in a multi-tenant, shared, or cloud environment, be cautious about storing personal data there. 4) The source is small and readable; inspect the code yourself if you have concerns. No credentials or network downloads are required, which reduces risk.

功能分析

Type: OpenClaw Skill Name: habit-tracker-sr Version: 1.0.0 The HabitTracker skill is a standard utility for logging daily activities and calculating streaks. The implementation in `src/habit-tracker.js` is straightforward, using local file storage (`habits-data.json`) with no network activity, shell execution, or sensitive data access. Notably, the code includes a security check against prototype pollution in the `log` function, and the documentation in `SKILL.md` contains no malicious prompt injection or hidden instructions.

能力评估

✓ Purpose & Capability

Name/description (conversational habit tracking) align with included code and SKILL.md. The code implements logging, streaks, check-ins, and weekly reports and reads/writes a local JSON data file as expected.

✓ Instruction Scope

SKILL.md describes only local conversational logging, reminders, and reports. It does not direct the agent to read unrelated files, access credentials, or transmit data to external endpoints.

✓ Install Mechanism

No install spec and no network downloads. The only code file is a small Node.js module using the built-in fs module — no third-party packages or external installers are pulled in.

✓ Credentials

The skill requests no environment variables, credentials, or config paths. Its behavior (storing local habit data) does not require secrets or cloud access.

✓ Persistence & Privilege

The skill is not forced-always, does not modify other skills or system-wide configs, and only writes its own data file (default ./habits-data.json). Autonomous invocation is allowed but is the platform default.

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 habit-tracker-sr
安装完成后，直接呼叫该 Skill 的名称或使用 /habit-tracker-sr 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 upload

元数据

Slug habit-tracker-sr

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

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