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Behavior Tracker

Name: Behavior Tracker
Author: chefroger

作者 chefroger · GitHub ↗ · v1.1.0 · MIT-0

cross-platform ✓ 安全检测通过

127

总下载

当前安装

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在 OpenClaw 中安装

/install behavior-tracker

功能描述

Automatically record and analyze user behavior patterns from conversations

使用说明 (SKILL.md)

behavior-tracker

Automatically record and analyze user behavior patterns

Features

Proactive Recording - Extract key info after each conversation
Periodic Analysis - Daily/weekly auto analyze behavior patterns
Pattern Recognition - Discover interests, active hours, learning habits
Report Generation - Generate visual reports

Trigger Conditions

Auto call after each important conversation
Cron: Daily 18:00 analysis
User request: "analyze my behavior"

Analysis Dimensions

Dimension	Description
topic	Recently discussed tech/projects
active_hours	High-frequency conversation time periods
communication_style	Task-based/discussion-based/Q&A
learning_mode	Theory-oriented/practice-oriented
project_focus	Long-term projects of interest

File Structure

behavior-tracker/
├── SKILL.md              # This file
├── scripts/
│   ├── analyzer.py       # Core analysis logic
│   ├── recorder.py       # Manual conversation recorder
│   └── heartbeat_tracker.py  # Lightweight heartbeat tracker
└── references/
    └── .gitkeep

Usage

# Manual analysis run
python3 scripts/analyzer.py

# Record current conversation
python3 scripts/recorder.py --topic "AI Agent" --project "The Machine"

# Run lightweight tracker (for heartbeat)
python3 scripts/heartbeat_tracker.py

Cron Configuration

# Auto analysis daily at 18:00
0 18 * * * python3 ~/.../behavior-tracker/scripts/analyzer.py

Dependencies

Python 3.10+
No external dependencies (pure stdlib)

安全使用建议

This skill operates on local conversation memory files and stores aggregated behavior data locally — there are no external network calls or credential requests. Before installing: (1) confirm the workspace path (~/.openclaw/workspace/memory by default) contains only data you want analyzed, (2) be aware it will write behavior-patterns.json, behavior-report.md, and a last-check file into that directory, (3) if you want different storage, set OPENCLAW_DIR or OPENCLAW_WORKSPACE or run the scripts from a controlled location, and (4) if you schedule cron jobs, verify the cron command and environment to avoid accidental exposure. If you need the skill to declare the optional env vars explicitly, request that from the author.

功能分析

Type: OpenClaw Skill Name: behavior-tracker Version: 1.1.0 The behavior-tracker skill is designed to analyze user conversation history stored in the OpenClaw workspace to identify interests, projects, and habits. The scripts (analyzer.py, heartbeat_tracker.py, recorder.py) operate entirely locally, reading from and writing to the designated OpenClaw memory directory (~/.openclaw/workspace/memory) without any evidence of network exfiltration, unauthorized access to sensitive system files, or malicious execution. A minor functional bug exists in scripts/recorder.py (missing 'os' import), but the overall logic is consistent with the stated purpose.

能力评估

✓ Purpose & Capability

Name/description (behavior tracking) align with the code: analyzer/recorder/heartbeat read conversation memory files and update local behavior-patterns.json and reports. All requested resources (local workspace/memory files) are reasonable for this purpose.

✓ Instruction Scope

SKILL.md instructs running analyzer, recorder, and heartbeat scripts and recommends a cron entry. The scripts only read/write files under the OpenClaw workspace memory directory, extract keywords, and generate reports. They do not read unrelated system files or transmit data externally.

✓ Install Mechanism

No install spec; the skill is instruction-only with small Python scripts using only the standard library. Nothing is downloaded or installed by the skill.

ℹ Credentials

The skill declares no required env vars or credentials (good). The code does read optional environment variables OPENCLAW_DIR and OPENCLAW_WORKSPACE (with safe defaults) but these were not listed in metadata — this is benign but could be declared explicitly. No secrets, network endpoints, or external credentials are requested.

ℹ Persistence & Privilege

always:false and the skill does not request elevated privileges. It writes persistent local files (behavior-patterns.json, behavior-report.md, behavior-last-check.json) into the user's OpenClaw workspace memory directory — expected given its purpose; users should review/clean these files if they contain sensitive content.

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

v1.1.0

Fixed hardcoded paths - now cross-platform. Removed reporter.py reference.

v1.0.2

Added description metadata in frontmatter

v1.0.1

Initial release - translated to English

元数据

Slug behavior-tracker

版本 1.1.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 3

常见问题