Skill Vision Control
S

Skill Vision Control

A secure MCP skill version manager that supports automatic update detection, security scanning, multi-version management, intelligent merging, and A/B testing.
2.5 points
0

What is Skill Vision Control?

Skill Vision Control (SVC) is an intelligent version management system specifically designed for MCP (Model Context Protocol) skills. It's like a'skill butler' that helps you securely manage, update, and test various AI skills, ensuring you always use the most stable and secure versions. Imagine you have many AI assistant skills, such as weather queries, translation, and code generation. SVC will automatically check if there are new versions of these skills, conduct security checks before downloading, allow you to test the new version before deciding whether to replace it, and preserve your personalized modifications.

How to use SVC?

Using SVC is very simple and mainly involves command-line operations. You only need a few basic commands to get started: 1. Add skills to be managed (from GitHub or npm) 2. Regularly check for updates 3. Download new versions for testing 4. Confirm to use or roll back to the old version SVC also provides an MCP server mode, allowing AI assistants to help you manage skills and achieve automated management.

Applicable scenarios

SVC is particularly suitable for the following scenarios: - You use multiple MCP skills and need unified management - You have made personalized modifications to some skills but also want to get official updates - You care about the security of skills and hope to conduct automatic checks before updates - You want to test new versions without affecting current use - You hope that AI assistants can help you manage skill updates

Main features

Automatic update detection
Automatically check if there are new versions of skills from GitHub and npm, and support scheduled checks
Security scanning
Automatically scan the code security before downloading, detect potential risks, and protect your system security
Multi-version management
Retain multiple versions simultaneously, switch at any time, and support rolling back to any historical version
Intelligent merging
Automatically merge official updates with your personalized modifications, making it more convenient to resolve conflicts
A/B testing
Test new versions without affecting the production environment to ensure stability
Scheduled checks
Set the frequency of automatic checks (daily/weekly/monthly) to not miss important updates
MCP server integration
Run as an MCP server, allowing AI assistants to manage your skills
Desktop notifications
Send desktop notifications when there are new versions to remind you to update in time
Advantages
๐Ÿ›ก๏ธ Security first: Conduct security scans for each download to prevent malicious code
๐Ÿ”„ Risk-free updates: Test before switching and roll back at any time if there are problems
๐ŸŽจ Personalization preservation: Intelligent merging allows you to update while retaining custom modifications
๐Ÿค– Automated management: Support scheduled checks and AI assistant management, saving time and effort
๐Ÿ“Š Clear version history: All version histories are clearly visible, making management easier
Limitations
๐Ÿ“š Learning curve: You need to learn some command-line operations
๐Ÿ’พ Storage space: Retaining multiple versions will occupy more disk space
๐Ÿ”— Network dependency: You need a network connection to check for updates and download
โš™๏ธ Configuration requirements: You need basic knowledge of command-line usage

How to use

Install SVC
First, you need to install the SVC tool on your computer
Add skills
Add the MCP skills you want to manage to SVC
Check for updates
Regularly check if there are new versions of the skills you manage
Download and test
Download the new version for testing, and the old version will be retained
Switch versions
Switch to the new version after satisfactory testing. You can roll back if you are not satisfied

Usage examples

Example 1: Securely update the weather query skill
You are using a weather query MCP skill and find that a new version has been released. You want to update but are worried about security.
Example 2: Preserve personalized modifications of the translation skill
You have made personalized modifications to a translation skill (such as adding professional terms), and now the official has released a new version.
Example 3: Batch manage multiple skills
You are using 10 different MCP skills and want to manage their updates uniformly.
Example 4: Let AI assistants manage skills
You hope that AI assistants can help you manage skill updates and achieve automation.

Frequently Asked Questions

Which sources of skills does SVC support?
What content will the security scan check?
If I don't like the new version, how can I roll back?
Will SVC occupy a lot of disk space?
How can I make SVC automatically check for updates?
Can I use SVC without an internet connection?
What should I do if there are conflicts during merging?

Related resources

GitHub repository
The source code and latest version of SVC
npm package page
View and install SVC on npm
MCP protocol documentation
Understand the detailed specifications of the Model Context Protocol
Sentinel security scan
The security scanning tool integrated with SVC

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "skill-vision-control": {
      "command": "svc",
      "args": ["serve"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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