Maske Evolution is a unified framework for automated AI agent self-improvement through skill discovery, VFM evaluation, and scheduled evolutionary cycles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install maske-evolution
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 maske-evolution 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 Maske Evolution?
Maske Evolution serves as the central nervous system for agent growth, enabling autonomous skill lifecycle management. It integrates multi-platform searching across ClawHub and GitHub with a sophisticated Value Factor Model (VFM) to ensure that only high-impact Openclaw Skills are integrated into the agent's workflow, fostering a state of continuous self-improvement and technical excellence. This system transforms a static agent into a dynamic entity that actively seeks out and adopts new capabilities to solve complex tasks more efficiently.
Maske Evolution Use Cases
- Automatically searching for and installing specific technical capabilities like PDF processing or data analysis.
- Implementing a scheduled daily evolution cycle to keep the agent updated with the latest frontier technologies.
- Conducting team-wide reflections to analyze sub-agent growth and optimize collaboration efficiency.
- Reducing manual developer overhead by automating the discovery and vetting of new Openclaw Skills.
How Maske Evolution Works
- The system initiates a multi-platform search across ClawHub, GitHub, and SkillHub to identify relevant capabilities based on user needs or scheduled triggers.
- Identified skills undergo a VFM (Value Factor Model) evaluation, scoring them based on frequency of use, failure reduction, burden reduction, and cost savings.
- Skills surpassing the predefined threshold (e.g., score >= 50) are automatically installed using integrated CLI tools.
- A daily reflection process at 18:30 scans sub-agent growth and frontier trends to prepare for the 19:00 evolution task.
- The system performs the evolution, installing or creating new tools, and logs the results into a persistent memory system for long-term tracking.
Maske Evolution Setup
To get started with the Maske Evolution system, ensure your environment is prepared for skill management. You can install specific Openclaw Skills using the following commands:
# Install a specific skill via ClawHub
clawhub install <skill-slug>
# Install a skill via SkillHub
skillhub install <skill-name>
Configure the automated schedules by setting up cron jobs or internal timers for 18:30 (Reflection) and 19:00 (Evolution) to enable the full self-improvement lifecycle.
Maske Evolution Data Schema & Taxonomy
The system organizes its evolutionary data and logs using a structured directory and metadata taxonomy:
| File/Folder | Content Type | Description |
|---|---|---|
evolution/REFLECTION.md |
Markdown | Daily logs of team status, technology scans, and growth paths. |
logs/evolution.log |
Plain Text | Detailed technical execution logs of the evolution cycle. |
metadata/skills.json |
JSON | A registry of all integrated Openclaw Skills and their VFM scores. |
evolution/backups/ |
Binary/Text | Incremental backups of the system state prior to evolution. |
Maske Evolution Advanced Features
- Multi-agent sub-system architecture including specialized roles like Explorer, Critic, and Builder.
- Customizable VFM scoring weights to prioritize specific performance metrics like token cost or execution speed.
- Automated frontier technology scanning to identify and adapt to the latest trends in Openclaw Skills.
- Deep team reflection hooks that analyze sub-agent collaboration efficiency.
- Autonomous skill creation and implementation for scenarios where existing tools are unavailable.
SKILL.md
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