A proactive self-evolution system for AI agents that tracks version history, monitors expert source updates, and manages content drift.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-evolution-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 skill-evolution-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 Skill Evolution Tracker?
The Skill Evolution Tracker is a sophisticated management layer designed to ensure that AI agent skills remain current and relevant. Built as a core component of the Nova evolution system, it automates the tedious process of tracking skill versioning and monitoring external information sources for updates. By integrating this tool into your Openclaw Skills ecosystem, you prevent technical debt and ensure that your agents' knowledge bases evolve alongside their human expert counterparts.
This skill serves as an automated version controller and auditor, maintaining a detailed JSON-based history of all modifications. It bridges the gap between static markdown files and the dynamic flow of real-world information, providing a structured workflow for approvals and manual oversight while automating the heavy lifting of data collection and comparison.
Skill Evolution Tracker Use Cases
- Tracking version history and changelogs for multiple AI agent skills.
- Monitoring official blogs, social media, and podcasts of industry experts for new insights.
- Automating monthly audits to detect content drift or outdated instructions.
- Generating detailed difference reports to compare current skill logic with new expert data.
- Managing approval workflows for major updates to an agent's mental model.
How Skill Evolution Tracker Works
- The tracker maintains a centralized
skill_versions.jsonfile to store metadata, publish codes, and detailed changelogs for every skill. - On a monthly cycle, the system executes a monitoring script that scrapes pre-defined expert sources including blogs, LinkedIn, and Twitter.
- The engine performs a logic check to determine the magnitude of changes: 'Major' for core model shifts, 'Minor' for incremental additions, or 'Patch' for formatting.
- If updates are found, it generates a comprehensive Diff Report in the workspace, highlighting specific changes and suggested updates.
- A notification is dispatched via integrated communication channels (like WeChat) to the administrator for final approval or discussion.
Skill Evolution Tracker Setup
To deploy the tracker within your Openclaw Skills environment, ensure you have the required directory structure and script permissions:
# Navigate to your skills directory
cd /workspace/skills/
# Initialize the tracking directory
mkdir -p skill-evolution-tracker/{history,reports,scripts}
# Run the initial monitor to baseline your current skills
python3 /workspace/skills/skill-evolution-tracker/scripts/skill_monitor.py --all
Skill Evolution Tracker Data Schema & Taxonomy
The skill organizes metadata using a structured JSON schema and Markdown reporting system:
| File Type | Path | Description |
|---|---|---|
| Version Registry | /history/skill_versions.json |
Stores version IDs, last update dates, and full changelogs. |
| Evolution Reports | /reports/report-YYYY-MM-DD.md |
Detailed diff analysis, change summaries, and approval checkboxes. |
| Monitor Scripts | /scripts/skill_monitor.py |
The logic engine for external data fetching and comparison. |
Schema Example:
- skill_id: Unique identifier for the skill.
- version: Semantic versioning (Major.Minor.Patch).
- change_type: Classification of the update (initial, major, minor, patch).
Skill Evolution Tracker Advanced Features
- Multi-source monitoring: Tracks LinkedIn, Twitter, Podcasts, and RSS feeds simultaneously.
- Semantic Versioning Enforcement: Automatically suggests version increments based on change magnitude.
- Integrated Approval Workflow: Features dedicated checkboxes and status tracking for human-in-the-loop validation.
- Automated Notification System: Sends instant alerts when new expert content is detected.
- Patch Auto-update: Optionally automates minor formatting and typo fixes without requiring manual intervention.
SKILL.md
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