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Life Logging Analyzer
作者
KingOfZhao
· GitHub ↗
· v1.0.0
· MIT-0
109
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当前安装
1
版本数
在 OpenClaw 中安装
/install life-logging-analyzer
功能描述
Analyze fragmented life data from calendars, health apps, and notes to identify patterns, trends, and build a personal timeline narrative.
使用说明 (SKILL.md)
Life Logging Analyzer
生活日志分析器 — 从碎片化生活记录中提取模式、洞察和趋势，构建个人时间线叙事。
Description
将散落在日历、笔记、照片元数据、健康App、屏幕时间等数据源中的生活轨迹，结构化为可分析的时间线。通过模式识别发现生活节奏、习惯变化和长期趋势。
Usage
当用户需要：
- 回顾过去一周/月/年的生活模式
- 发现时间分配黑洞
- 建立个人生活数据库
- 生成生活年度报告
- 对比不同时期的生活状态
使用本 Skill。
Key Concepts
1. 五维生活日志模型
- 时间维：日历事件、屏幕时间、应用使用时长
- 物理维：位置轨迹、步数、睡眠、运动
- 数字维：消息频率、社交媒体活跃度、代码提交
- 内容维：笔记关键词、照片标签、阅读书目
- 情绪维：心情记录、能量水平、压力指标
2. 模式提取三阶法
- 微观模式（日级）：注意力峰值时段、触发分心的首因
- 中观模式（周级）：工作-休息节奏、社交-独处比例
- 宏观模式（年级）：兴趣演变轨迹、生活重心迁移
3. 叙事生成引擎
- 原始数据 → 统计摘要 → 因果假设 → 人类验证 → 个人叙事
- 关键原则：数据提出假设，人类确认因果，避免伪相关
Instructions
- 确定用户可用的数据源
- 建立统一的时序数据格式
- 运行五维相关性分析
- 生成模式报告（日/周/月/年）
- 提出可执行的优化建议
Examples
输入: "帮我分析上个月的时间都去哪了" 输出: 五维时间分配图 + TOP5时间消耗 + 与上月对比 + 3个优化建议
Boundaries
- 不要求完美的数据覆盖，部分数据也能产出洞察
- 隐私优先：所有数据本地处理
- 不做心理健康诊断
References
- Quantified Self 运动
- 个人知识管理(PKM)实践
- 时间感知心理学
安全使用建议
This skill appears coherent with its purpose and is low-risk as provided (no installs, no credentials). Before using it: 1) Confirm how it will obtain your data—prefer uploading/exporting files (calendar .ics, photo metadata, health export) rather than granting account tokens or filesystem access. 2) Do not share cloud passwords, OAuth tokens, or platform keys; provide only the minimum exports or samples needed. 3) Because the skill's source and homepage are unknown, ask the publisher for a privacy statement or viewable implementation (or use open-source alternatives) before sending sensitive health/location data. 4) If the agent asks to read local files or connect to third-party services, decline until you understand and approve the exact access method. Following these steps will reduce the risk of accidental data leakage.
功能分析
Type: OpenClaw Skill
Name: life-logging-analyzer
Version: 1.0.0
The skill bundle contains only metadata and documentation for a 'Life Logging Analyzer' designed to help users track habits and time usage. The SKILL.md file provides high-level instructions for an AI agent to analyze personal data sources like calendars and health apps, explicitly emphasizing local data processing and privacy. No executable code, suspicious network calls, or prompt-injection attacks were identified.
能力评估
Purpose & Capability
Name and description match the instructions: extract patterns from calendars, notes, photos metadata, health apps, etc. The skill does not request unrelated credentials, binaries, or config paths, which is consistent with an analysis/aggregation tool.
Instruction Scope
SKILL.md gives high-level steps (identify available data sources, normalize time series, run 5‑dimensional analysis, generate reports). It does not specify how the agent should access data (user-provided exports vs. reading local system files or invoking external APIs). That ambiguity gives the agent broad discretion at runtime—acceptable if the agent prompts users to supply exports, but risky if it attempts to access account tokens or system files without explicit consent.
Install Mechanism
Instruction-only skill with no install spec and no code files. This minimizes on-disk risk—nothing is fetched or installed by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. This is proportionate to the stated purpose as long as the agent asks the user to provide or upload the necessary data rather than requesting account credentials.
Persistence & Privilege
always:false and user-invocable:true (defaults). The skill can be invoked autonomously by the agent per platform defaults, but it does not request persistent presence or modify other skills or system configuration.
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 life-logging-analyzer - 安装完成后，直接呼叫该 Skill 的名称或使用
/life-logging-analyzer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
Life Logging Analyzer 1.0.0
- Initial release with a five-dimensional model to structure and analyze scattered life data.
- Supports integration from calendars, notes, photos, health apps, and productivity metrics.
- Extracts daily, weekly, and annual patterns for personal insight and reporting.
- Generates personalized narrative summaries and actionable suggestions.
- Emphasizes privacy by processing all data locally.
元数据
常见问题
Life Logging Analyzer 是什么？
Analyze fragmented life data from calendars, health apps, and notes to identify patterns, trends, and build a personal timeline narrative. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 109 次。
如何安装 Life Logging Analyzer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install life-logging-analyzer」即可一键安装，无需额外配置。
Life Logging Analyzer 是免费的吗？
是的，Life Logging Analyzer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Life Logging Analyzer 支持哪些平台？
Life Logging Analyzer 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 Life Logging Analyzer？
由 KingOfZhao（@kingofzhao）开发并维护，当前版本 v1.0.0。
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