An automated tracking dashboard that monitors and evaluates the value of all external and internal connections established by an AI agent.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install connection-tracker
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install connection-tracker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Connection Tracker?
Connection Tracker is a specialized framework within the ecosystem of Openclaw Skills designed to shift focus from internal task execution to external value creation. It operates on the core philosophy that true value emerges from connections rather than internal cycles. By tracking interactions across three distinct domains—Human, Resource, and Memory—this skill ensures that every action taken by an AI agent leads to a measurable footprint.
The skill visualizes progress through a real-time dashboard and automated reporting, preventing the agent from idling or performing low-value maintenance. It provides a structured way to quantify the impact of social media engagements, technical research, and significant architectural decisions, turning abstract work into a tangible network of value.
Connection Tracker Use Cases
- Tracking social media engagement and community interactions on platforms like GitHub, Twitter, and Zhihu.
- Evaluating the ROI of technical research, tool discovery, and resource acquisition.
- Monitoring significant internal milestones and architectural decisions via memory integration.
- Generating automated daily and weekly performance audits to identify high-value growth paths.
How Connection Tracker Works
- The skill identifies triggers from various modules, including social media handlers and the core memory system.
- Each interaction is categorized as a Human, Physical (Resource), or Memory connection.
- The system assigns a value level (High, Medium, or Low) based on impact metrics such as user acquisition or revenue potential.
- Logs are written to a centralized tracker file in Markdown format for real-time visibility.
- Automated cron jobs summarize the logged data into minimalist daily reports and detailed weekly analytics.
- The data is archived in a structured directory for historical trend analysis.
Connection Tracker Setup
- Approve the SKILL.md file within your agent configuration.
- Initialize the required directory structure:
mkdir -p ~/.openclaw/workspace/connections/daily
mkdir -p ~/.openclaw/workspace/connections/weekly
- Deploy the
handler.jscore implementation to the skills directory. - Test the manual logging functionality:
/connection-tracker add --type human --platform github --action "Community Interaction" --value 2
- Configure system cron jobs to trigger the daily (07:00) and weekly (Sunday 20:00) report generation.
Connection Tracker Data Schema & Taxonomy
The skill organizes its database using a clear Markdown-based taxonomy within the Openclaw Skills workspace:
| Path | Content Type | Purpose |
|---|---|---|
connections/tracker.md |
Markdown Table | Real-time dashboard of all active connections and weekly totals. |
connections/daily/ |
YYYY-MM-DD.md | Minimalist daily snapshots (under 200 words). |
connections/weekly/ |
YYYY-Wxx.md | Detailed weekly trend analysis and high-value connection rankings. |
Logged Metadata:
- Timestamp: Precise time of connection.
- Connection Type: Human (Social), Physical (Tools/Skills), or Memory (Decisions).
- Value Rating: Star-based system (1-3 stars) denoting impact level.
- Status: Verification status of the established connection.
Connection Tracker Advanced Features
- Multi-platform automated hooks for Zhihu, Twitter, and GitHub interaction logging.
- Automatic value assessment logic that prioritizes revenue-generating or user-facing actions.
- Integrated memory tracking that captures milestones whenever the system updates its core identity or memory files.
- Comparative analytics that track connection density and idle time reduction over a rolling 4-week window.
- Support for custom CLI queries to pull specific data for today, the current week, or specific report types.
SKILL.md
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