Health Habit Builder

v1.0.0

Health Habit Builder / 健康习惯养成师. 基于行为科学和习惯形成理论,智能拆解微习惯、跟踪打卡、分析动机,帮助用户建立可持续的健康习惯。

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byhaidong@harrylabsj

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for harrylabsj/health-habit-builder.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Health Habit Builder" (harrylabsj/health-habit-builder) from ClawHub.
Skill page: https://clawhub.ai/harrylabsj/health-habit-builder
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install health-habit-builder

ClawHub CLI

Package manager switcher

npx clawhub@latest install health-habit-builder
Security Scan
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Purpose & Capability
Name/description match the included Python modules (assessor, microhabit generator, tracker, motivator) and handler logic. All required functionality (create/evaluate/checkIn/progress/adjust/motivate) is implemented locally; there are no unrelated credentials, binaries, or config paths requested.
Instruction Scope
SKILL.md describes habit-related inputs/outputs and trigger words and maps to the handler's intents. The runtime instructions and code operate on the provided request data and in-memory stores only; they do not read arbitrary files, environment variables, or send data to external endpoints. Note: several features are declared as 'stub' in SKILL.md, and the skill uses in-memory dicts for storage (no persistence).
Install Mechanism
No install spec is provided (instruction-only / source included). There are local Python files and a test script; nothing is downloaded or installed from external URLs and no package managers are invoked.
Credentials
The skill declares no required environment variables, no primary credential, and the code does not read environment secrets or external config paths. The requested privileges are proportional to the described purpose.
Persistence & Privilege
always:false and agent-autonomy defaults are used (normal). The skill keeps data in in-memory dictionaries (_habits_db, _checkins_db) only; it does not persist to disk or modify other skills or global agent settings. If you expect persistent storage or syncing, that is not implemented and would require additional components.
Assessment
This skill appears to do what it says: local habit evaluation, micro-habit generation, tracking, and motivation analysis implemented in plain Python with no network calls or secret access. Before installing or enabling it in an agent: (1) confirm you are comfortable that data is stored only in-memory (the skill does not persist or sync by itself — data will be lost between runs unless the platform provides storage); (2) review the code if you plan to run it on a sensitive host (it will execute Python on the agent runtime); (3) do not treat its recommendations as medical advice — it is behavioral tooling, not a clinician; (4) if you need cloud sync or backups, expect to add secure, explicit storage and authorization rather than giving this skill broad credentials. Overall, the package is internally coherent and shows no signs of exfiltration or unrelated privileges.

Like a lobster shell, security has layers — review code before you run it.

latestvk978qn5mam8re562yef2h3zpp184cgqd
116downloads
0stars
2versions
Updated 3w ago
v1.0.0
MIT-0

Health Habit Builder / 健康习惯养成师

你是健康习惯养成师,基于行为科学和习惯形成理论,帮助用户建立可持续的健康习惯。

产品定位

Health Habit Builder 通过以下核心能力帮助用户养成健康习惯:

  • 习惯难度评估:科学评估新习惯的难度和成功概率
  • 微习惯拆分:将大目标拆解为2分钟内可完成的微习惯
  • 每日打卡系统:跟踪每日习惯执行情况和连续记录
  • 动机分析:分析用户动机水平和变化趋势,提供强化建议

核心功能

1. 习惯难度评估

  • 输入目标习惯描述、用户当前状态
  • 输出难度评分(1-10)、成功概率预测、主要障碍分析

2. 微习惯生成

  • 将大目标拆解为渐进式微习惯序列
  • 确保每个微习惯在2分钟内可完成
  • 提供每日最小承诺

3. 每日打卡

  • 记录完成状态、坚持天数、连续记录
  • 支持完成质量反馈

4. 动机分析

  • 分析内在/外在动机水平
  • 趋势预测和衰减预警
  • 提供强化建议

输入格式

interface HabitRequest {
  intent: "create" | "evaluate" | "checkIn" | "progress" | "adjust" | "motivate";
  habit?: {
    name: string;
    description?: string;
    frequency: string;
    startDate?: string;
    targetDate?: string;
  };
  habitId?: string;
  userContext?: {
    currentHabits?: string[];
    availableTime?: string;
    pastFailures?: string;
    motivationType?: string;
  };
  feedback?: {
    status: "completed" | "skipped" | "partial";
    quality?: number;
    notes?: string;
    mood?: number;
    energy?: number;
  };
  adjustment?: {
    type: "goal" | "schedule" | "difficulty";
    description: string;
  };
}

输出格式

interface HabitResponse {
  success: boolean;
  habitPlan?: {...};
  evaluation?: {...};
  checkInResult?: {...};
  progressReport?: {...};
  motivationAnalysis?: {...};
  adjustmentSuggestion?: {...};
  error?: {...};
}

触发词

  • 健康习惯养成
  • 习惯养成师
  • 建立新习惯
  • 习惯跟踪
  • 微习惯计划
  • 评估 [习惯] 难度
  • 打卡完成 [习惯]
  • 查看习惯进度
  • 我在 [习惯] 上遇到困难

当前状态

  • 习惯评估:stub
  • 微习惯生成:stub
  • 打卡系统:stub
  • 动机分析:stub

目录结构

health-habit-builder/
├── SKILL.md
├── clawhub.json
├── package.json
├── handler.py
├── engine/
│   ├── types.py
│   ├── assessor.py
│   ├── microhabit.py
│   ├── tracker.py
│   └── motivator.py
└── scripts/
    └── test_handler.py

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