Platform Comparison Guide

AI Agent Skill Platform Comparison

This guide provides a detailed comparison of the major AI agent skill platforms to help you choose the right ecosystem for your needs.

Quick Comparison Matrix

Feature OpenClaw Claude Code Cursor VS Code
Release Date Q1 2025 Q4 2024 Q2 2025 2019 (Skills: 2024)
Skill Format SKILL.md (YAML) skill.json manifest.json package.json
Security Model Permission-based Capability-based Manifest-based Workspace trust
Code Signing ed25519 RSA-2048 ECDSA Code signing
Sandboxing Container-based Process-based Native-based Extension isolation
Community Size 12,400+ skills 8,700+ skills 5,200+ skills 50,000+ extensions
Plugin Registry ClawHub Anthropic Marketplace Cursor Registry VS Code Marketplace
Publisher Verification Verified badge Identity verified Verified publisher Microsoft verified
Automated Scanning Yes (ClawHub) Basic Manifest validation Security analyzer

Platform Deep Dive

OpenClaw

Overview: OpenClaw (developed by ClawTech) provides a comprehensive agent skill ecosystem with emphasis on security and standardization.

Strengths:

  • ✅ Strongest security model with container-based sandboxing
  • ✅ Comprehensive permission system
  • ✅ Active malware detection and removal
  • ✅ Clear SKILL.md standard format
  • ✅ Strong community governance

Weaknesses:

  • ❌ Newer platform with smaller ecosystem
  • ❌ Steeper learning curve for developers
  • ❌ Limited debugging tools

Security Features:

Sandboxing: Container-based (Docker)
Signing: ed25519 (elliptic curve)
Permissions: Fine-grained with scopes
Scanning: Automated at publish-time and install-time
Features:
  - Resource limits (memory, CPU, network)
  - File system isolation
  - Network isolation with whitelisting
  - Process monitoring
  - Behavior-based threat detection

Getting Started:

  1. Register on ClawHub
  2. Create SKILL.md file
  3. Implement your skill logic
  4. Add security metadata
  5. Submit for review
  6. Publish when approved

Recommended For:

  • Security-critical applications
  • Enterprise deployments
  • Skills requiring fine-grained permissions
  • Organizations prioritizing safety

Claude Code

Overview: Anthropic’s Claude Code platform integrates skills directly into the Claude AI assistant with capability-based security.

Strengths:

  • ✅ Direct integration with Claude AI
  • ✅ Large user base from Claude adoption
  • ✅ Simple skill.json format
  • ✅ Good documentation and examples
  • ✅ Regular security updates

Weaknesses:

  • ❌ Less granular permission control
  • ❌ Vendor lock-in to Anthropic
  • ❌ Limited customization options

Security Features:

{
  "sandboxing": "Process isolation",
  "signing": "RSA-2048",
  "permissions": [
    "read_files",
    "write_files",
    "execute_code",
    "network_access"
  ],
  "resources": {
    "timeout_seconds": 60,
    "memory_mb": 1024
  }
}

Getting Started:

  1. Create Anthropic account
  2. Write skill.json with capability list
  3. Implement tool functions
  4. Test with Claude
  5. Submit to marketplace
  6. Monitor performance

Recommended For:

  • Claude-first applications
  • Quick skill development
  • Integration with Claude ecosystem
  • Prototyping and experimentation

Cursor

Overview: Cursor’s skill system focuses on code editing assistance with modern web-based development.

Strengths:

  • ✅ Excellent IDE integration
  • ✅ Growing community of developers
  • ✅ Good debugging capabilities
  • ✅ Fast iteration cycle
  • ✅ Strong TypeScript support

Weaknesses:

  • ❌ Smaller skill ecosystem
  • ❌ Limited cross-platform support
  • ❌ Basic security model

Security Features:

{
  "manifest": {
    "permissions": {
      "filesystem": "read-only",
      "network": "outbound-only"
    },
    "resources": {
      "memory": "512MB",
      "timeout": "30s"
    },
    "signing": "ECDSA"
  }
}

Getting Started:

  1. Install Cursor IDE
  2. Create manifest.json
  3. Implement skill in TypeScript
  4. Test locally
  5. Publish to Cursor Registry

Recommended For:

  • IDEs and development tools
  • Code analysis skills
  • Developer productivity tools
  • Integration with development workflows

VS Code

Overview: VS Code provides the mature extension system with 50,000+ community extensions and strong marketplace presence.

Strengths:

  • ✅ Largest extension ecosystem
  • ✅ Mature development tools
  • ✅ Excellent documentation
  • ✅ Strong community support
  • ✅ Multiple monetization options

Weaknesses:

  • ❌ Desktop-only (traditionally)
  • ❌ Less modern security model
  • ❌ Plugin complexity can be high

Security Features:

{
  "activationEvents": ["*"],
  "permissions": [],
  "extensionPack": [],
  "security": {
    "enablement": "ui",
    "requireWorkspaceTrust": true,
    "codeApproval": false
  }
}

Getting Started:

  1. Install VS Code
  2. Use Yeoman generator: npm init yo code
  3. Implement your extension
  4. Local testing with F5
  5. Package with vsce
  6. Publish to marketplace

Recommended For:

  • Existing VS Code users
  • Complex IDE integrations
  • Enterprise deployments
  • Mature ecosystems

Feature Comparison Details

Permission Models

OpenClaw - Fine-Grained

permissions:
  filesystem:
    read: ["/documents", "/projects"]
    write: ["/projects/draft"]
  network:
    outbound: ["https://api.example.com"]
  system:
    execute_shell: false
    access_identity: false

Claude Code - Capability-Based

{
  "capabilities": [
    "read_files_in_workspace",
    "create_new_files",
    "run_code",
    "access_api"
  ]
}

Cursor - Simple Manifest

{
  "permissions": {
    "filesystem": "read-only",
    "network": "public-api-only"
  }
}

VS Code - Activation-Based

{
  "activationEvents": [
    "onCommand:extension.hello",
    "onLanguage:python"
  ]
}

Security Testing Coverage

Platform Unit Tests Integration Tests Security Scan Penetration Test
OpenClaw Required Required Automated Annual
Claude Code Recommended Optional Basic Vendor-managed
Cursor Optional Optional Manual None reported
VS Code Optional Optional Optional None reported

Community & Support

OpenClaw

  • Forum: ClawHub Community
  • Response time: 24 hours (official team)
  • Security contact: [email protected]
  • Incident response: Active

Claude Code

  • Forum: Anthropic Discussions
  • Response time: 48 hours
  • Support email: [email protected]
  • Incident response: Coordinated

Cursor

  • Forum: Cursor Discord
  • Response time: Community-driven
  • Issue tracking: GitHub
  • Incident response: Best effort

VS Code

  • Forum: GitHub Discussions
  • Response time: Community-driven
  • News: VS Code Blog
  • Incident response: Best effort

Migration Guide

OpenClaw → Claude Code

# Convert SKILL.md to skill.json
import json
import yaml

with open('SKILL.md') as f:
    content = f.read()
    
# Extract frontmatter
frontmatter = yaml.safe_load(content.split('---')[1])

skill_json = {
    'name': frontmatter['name'],
    'version': frontmatter['version'],
    'permissions': convert_permissions(frontmatter.get('permissions', [])),
    'tools': build_tools_from_instructions(content)
}

with open('skill.json', 'w') as f:
    json.dump(skill_json, f, indent=2)

VS Code → Cursor

# Update package.json structure
jq '.manifest = .contributes | del(.contributes)' package.json > manifest.json

# Convert activation events to permissions
# Update TypeScript implementation for Cursor

Decision Matrix

Choose OpenClaw if you prioritize:

  • Maximum security
  • Enterprise requirements
  • Fine-grained permissions
  • Active threat detection

Choose Claude Code if you want:

  • Integration with Claude AI
  • Large existing user base
  • Simple development
  • Capability-based model

Choose Cursor if you need:

  • Code editor integration
  • Development tool focus
  • Quick iteration
  • Modern IDE experience

Choose VS Code if you require:

  • Largest community
  • Mature ecosystem
  • Desktop focus
  • Microsoft integration

Comparison updated: March 2026. Platform capabilities change frequently—check official documentation for latest features.


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Leadership & Founding Members

Project Leadership

Current Leaders

Ken Huang

Ken Huang

Hammad Atta

Hammad Atta

Fabio Cerullo

Fabio Cerullo

Aonan Guan

Aonan Guan

Bhavya Gupta

Bhavya Gupta

Niv Hoffman

Niv Hoffman

Iftach Orr

Iftach Orr

Akram Sheriff

Akram Sheriff

AIVSS Distinguished Review Board

The OWASP AIVSS project’s Distinguished Review Board comprises world-renowned cybersecurity leaders, former government officials, and industry pioneers who provide strategic guidance and expert oversight for the AI Vulnerability Scoring System framework. We thank them for their guidance, several of whom have also supported this project’s work.

Rob Joyce

Rob Joyce

Advisor to PwC and OpenAI, Former Special Assistant to the President and Cybersecurity Coordinator

Jason Clinton

Jason Clinton

Deputy CISO, Anthropic

Amy R. Steagall

Amy R. Steagall

Chief Information Security Officer, Stanford University

Martin Stanley

Martin Stanley

AI Risk Management Framework Lead, NIST

Apostol Vassilev

Apostol Vassilev

Research Supervisor, NIST

Andrew Coyne

Andrew Coyne

CISO, Banner Health, Former CISO, Mayo Clinic

Kevin Rocque

Kevin Rocque

Managing Director/Executive Vice President, Global Technology Risk Officer, TD Bank

Jeff Williams

Jeff Williams

Former Global OWASP Chair, Founder and CTO, Contrast Security

Michael Tran Duff

Michael Tran Duff

University Chief Information Security and Data Privacy Officer, Harvard University

Emil Bender Lassen

Emil Bender Lassen

Standards Lead, AIUC-1

Agentic Skills Top 10 Founding Members

Founding members of the OWASP Agentic Skills Top 10 project itself — project leads, co-leads, and additional contributors — listed alphabetically. Several also contribute to the sibling OWASP AIVSS project listed above.

Ken Huang

Ken Huang

Project Lead, Agentic Skills Top 10

Hammad Atta

Hammad Atta

Co-Lead, Agentic Skills Top 10

Manish Bhatt

Manish Bhatt

Security Researcher, AWS

Fabio Cerullo

Fabio Cerullo

Co-Lead, Agentic Skills Top 10

David Girard

David Girard

Senior Director, AI Security & AI Alliances, Trend Micro

Aonan Guan

Aonan Guan

Co-Lead, Agentic Skills Top 10

Bhavya Gupta

Bhavya Gupta

Co-Lead, Agentic Skills Top 10

Pamela Gupta

Pamela Gupta

Founder & CEO, OutSecure / Trusted AI

Idan Habler

Idan Habler

Staff AI/ML Security Researcher, Intuit

Niv Hoffman

Niv Hoffman

CTO, Air Security

Charles Iheagwara

Charles Iheagwara

AI/ML Security Leader, AstraZeneca

Sushmitha Janapareddy

Sushmitha Janapareddy

Director - Security Integrations, American Express

Edward Lee

Edward Lee

Vice President, Lead AI Security, JP Morgan

KJ Lian

KJ Lian

Senior Manager, Data & AI (Public Sector), AWS

Vineeth Sai Narajala

Vineeth Sai Narajala

Application Security, AWS

Iftach Orr

Iftach Orr

Co-Lead, Agentic Skills Top 10

Kanna Sekar

Kanna Sekar

Cyber Security, Google

Akram Sheriff

Akram Sheriff

Co-Lead, Agentic Skills Top 10

Dennis Xu

Dennis Xu

Research VP, AI, Gartner

OWASP AIVSS Founding Members

The OWASP AIVSS (Agentic AI Vulnerability Scoring System) project is a sibling OWASP initiative focused on scoring the severity of agentic AI vulnerabilities. Its founding members are recognized here as OWASP founding members in the agentic AI security space; many of them have also contributed directly to the Agentic Skills Top 10 project’s research and review process.

Sunil Agrawal

Sunil Agrawal

Chief Information Security Officer, Glean

David Ames

David Ames

Partner, PwC

Michael Bargury

Michael Bargury

Founder and CTO, Zenity

Joshua Beck

Joshua Beck

Application Security Architect, SAS

Manish Bhatt

Manish Bhatt

Security Researcher, Amazon Kuiper Security

Mark Breitenbach

Mark Breitenbach

Security Engineer, Dropbox

Anat Bremler-Barr

Anat Bremler-Barr

Professor of Computer Science, Tel Aviv University

Siah Burke

Siah Burke

HIPAA Security Officer, Siah.ai

David Campbell

David Campbell

AI Security, Scale AI

Ying-Jung Chen

Ying-Jung Chen

AI safety researcher, PhD, Georgia Institute of Technology

Anton Chuvakin

Anton Chuvakin

Security Solution Strategy, Google

Jason Clinton

Jason Clinton

CISO, Anthorphic

Adam Dawson

Adam Dawson

Staff AI Security Researcher, Dreadnode

Leon Derczynski

Leon Derczynski

Principal Research Scientist, NVIDIA

Walker Lee Dimon

Walker Lee Dimon

AI Security Researcher, MITRE

Marissa Dotter

Marissa Dotter

AI Security Researcher, MITRE

Dan Goldberg

Dan Goldberg

ISO Market Lead, Omnicom

David Haber

David Haber

CEO, Lakera

Idan Habler

Idan Habler

Staff AI/ML Security Researcher, Intuit

Jason Haddix

Jason Haddix

Founder, Arcanum Information Security

Keith Hoodlet

Keith Hoodlet

Director of AI/ML & AppSec, Trail of Bits

Ken Huang

Ken Huang

AIVSS Project Lead, OWASP

Chris Hughes

Chris Hughes

CEO, Aquia

Charles Iheagwara

Charles Iheagwara

AI/ML Security Leader, AstraZeneca

Krystal Jackson

Krystal Jackson

Researcher, Center for Long-Term Cybersecurity, UC Berkeley

Sushmitha Janapareddy

Sushmitha Janapareddy

Director - Security Integrations, American Express

Rob Joyce

Rob Joyce

Former Cybersecurity Director of NSA, Advisor to PwC, PwC

Diana Kelley

Diana Kelley

CISO, Noma Security

Prashant Kulkarni

Prashant Kulkarni

Lead AI Security Research Engineer, Google Cloud

Mahesh Lambe

Mahesh Lambe

Founder, MIT, Unify Dynamics

Edward Lee

Edward Lee

Vice President, Lead AI Security, JP Morgan

Nate Lee

Nate Lee

CEO, Cloudsec.ai

Vishwas Manral

Vishwas Manral

CEO, Precize.ai

Daniela Muhaj

Daniela Muhaj

Executive-in-Residence for Research & Development, AI 2030

Vineeth Sai Narajala

Vineeth Sai Narajala

Application Security, AWS

Om Narayan

Om Narayan

AI Security Researcher, AWS

Varun Pant

Varun Pant

Engineering and Product Leader, AI applications at the Automated Reasoning Group, AWS

Advait Patel

Advait Patel

Senior Site Reliability Engineer (DevSecOps + Cloud + AIOps), Broadcom, IEEE

Alex Polyakov

Alex Polyakov

CEO, adversa.ai

Ramesh Raskar

Ramesh Raskar

Professor & Director, MIT Media Lab

Ron F. Del Rosario

Ron F. Del Rosario

VP-Head of AI Security, SAP

Tal Shapira

Tal Shapira

Co-Founder & CTO, Reco AI

Akram Sheriff

Akram Sheriff

Senior AI/ML Software Engineering Leader, Cisco

Samantha Siau

Samantha Siau

Security and Compliance, Anthropic

Kevin Simmonds

Kevin Simmonds

Partner on AI Offensive Security, PWC

Martin Stanley

Martin Stanley

NIST AI RMF Lead, Independent

Omar A. Turner

Omar A. Turner

General Manager of Security, Microsoft

Apostol Vassilev

Apostol Vassilev

AI Research Team Supervisor, NIST

Matthew Versaggi

Matthew Versaggi

AI Fellow, White House Presidential Innovation Fellow

David Webb

David Webb

Agency Cybersecurity Officer, Cybersecurity and Infrastructure Security Agency

Dennis Xu

Dennis Xu

Research VP, AI, Gartner

Xiaochen Zhang

Xiaochen Zhang

Executive Director and Chief Responsible AI Officer, AI 2030

Recognition

We extend our gratitude to all founding members who have contributed to establishing this crucial framework for AI security assessment. Their vision and dedication have been instrumental in shaping the Agentic Skills Top 10 project.

Get Involved

Interested in contributing to the Agentic Skills Top 10 project? We welcome new contributors and leaders. Please see our Contribution Guidelines for more information on how to get involved.