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Install in OpenClaw
/install behavior-tracker
Description
Automatically record and analyze user behavior patterns from conversations
README (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)
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
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.
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install behavior-tracker - After installation, invoke the skill by name or use
/behavior-tracker - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Behavior Tracker?
Automatically record and analyze user behavior patterns from conversations. It is an AI Agent Skill for Claude Code / OpenClaw, with 127 downloads so far.
How do I install Behavior Tracker?
Run "/install behavior-tracker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Behavior Tracker free?
Yes, Behavior Tracker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Behavior Tracker support?
Behavior Tracker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Behavior Tracker?
It is built and maintained by chefroger (@chefroger); the current version is v1.1.0.
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