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:
- Register on ClawHub
- Create SKILL.md file
- Implement your skill logic
- Add security metadata
- Submit for review
- 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:
- Create Anthropic account
- Write skill.json with capability list
- Implement tool functions
- Test with Claude
- Submit to marketplace
- 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:
- Install Cursor IDE
- Create manifest.json
- Implement skill in TypeScript
- Test locally
- 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:
- Install VS Code
- Use Yeoman generator:
npm init yo code - Implement your extension
- Local testing with F5
- Package with
vsce - 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
Hammad Atta
Fabio Cerullo
Aonan Guan
Bhavya Gupta
Niv Hoffman
Iftach Orr
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
Advisor to PwC and OpenAI, Former Special Assistant to the President and Cybersecurity Coordinator
Jason Clinton
Deputy CISO, Anthropic
Amy R. Steagall
Chief Information Security Officer, Stanford University
Martin Stanley
AI Risk Management Framework Lead, NIST
Apostol Vassilev
Research Supervisor, NIST
Andrew Coyne
CISO, Banner Health, Former CISO, Mayo Clinic
Kevin Rocque
Managing Director/Executive Vice President, Global Technology Risk Officer, TD Bank
Jeff Williams
Former Global OWASP Chair, Founder and CTO, Contrast Security
Michael Tran Duff
University Chief Information Security and Data Privacy Officer, Harvard University
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
Project Lead, Agentic Skills Top 10
Hammad Atta
Co-Lead, Agentic Skills Top 10
Manish Bhatt
Security Researcher, AWS
Fabio Cerullo
Co-Lead, Agentic Skills Top 10
David Girard
Senior Director, AI Security & AI Alliances, Trend Micro
Aonan Guan
Co-Lead, Agentic Skills Top 10
Bhavya Gupta
Co-Lead, Agentic Skills Top 10
Pamela Gupta
Founder & CEO, OutSecure / Trusted AI
Idan Habler
Staff AI/ML Security Researcher, Intuit
Niv Hoffman
CTO, Air Security
Charles Iheagwara
AI/ML Security Leader, AstraZeneca
Sushmitha Janapareddy
Director - Security Integrations, American Express
Edward Lee
Vice President, Lead AI Security, JP Morgan
KJ Lian
Senior Manager, Data & AI (Public Sector), AWS
Vineeth Sai Narajala
Application Security, AWS
Iftach Orr
Co-Lead, Agentic Skills Top 10
Kanna Sekar
Cyber Security, Google
Akram Sheriff
Co-Lead, Agentic Skills Top 10
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
Chief Information Security Officer, Glean
David Ames
Partner, PwC
Michael Bargury
Founder and CTO, Zenity
Joshua Beck
Application Security Architect, SAS
Manish Bhatt
Security Researcher, Amazon Kuiper Security
Mark Breitenbach
Security Engineer, Dropbox
Anat Bremler-Barr
Professor of Computer Science, Tel Aviv University
Siah Burke
HIPAA Security Officer, Siah.ai
David Campbell
AI Security, Scale AI
Ying-Jung Chen
AI safety researcher, PhD, Georgia Institute of Technology
Anton Chuvakin
Security Solution Strategy, Google
Jason Clinton
CISO, Anthorphic
Adam Dawson
Staff AI Security Researcher, Dreadnode
Leon Derczynski
Principal Research Scientist, NVIDIA
Walker Lee Dimon
AI Security Researcher, MITRE
Marissa Dotter
AI Security Researcher, MITRE
Dan Goldberg
ISO Market Lead, Omnicom
David Haber
CEO, Lakera
Idan Habler
Staff AI/ML Security Researcher, Intuit
Jason Haddix
Founder, Arcanum Information Security
Keith Hoodlet
Director of AI/ML & AppSec, Trail of Bits
Ken Huang
AIVSS Project Lead, OWASP
Chris Hughes
CEO, Aquia
Charles Iheagwara
AI/ML Security Leader, AstraZeneca
Krystal Jackson
Researcher, Center for Long-Term Cybersecurity, UC Berkeley
Sushmitha Janapareddy
Director - Security Integrations, American Express
Rob Joyce
Former Cybersecurity Director of NSA, Advisor to PwC, PwC
Diana Kelley
CISO, Noma Security
Prashant Kulkarni
Lead AI Security Research Engineer, Google Cloud
Mahesh Lambe
Founder, MIT, Unify Dynamics
Edward Lee
Vice President, Lead AI Security, JP Morgan
Nate Lee
CEO, Cloudsec.ai
Vishwas Manral
CEO, Precize.ai
Daniela Muhaj
Executive-in-Residence for Research & Development, AI 2030
Vineeth Sai Narajala
Application Security, AWS
Om Narayan
AI Security Researcher, AWS
Varun Pant
Engineering and Product Leader, AI applications at the Automated Reasoning Group, AWS
Advait Patel
Senior Site Reliability Engineer (DevSecOps + Cloud + AIOps), Broadcom, IEEE
Alex Polyakov
CEO, adversa.ai
Ramesh Raskar
Professor & Director, MIT Media Lab
Ron F. Del Rosario
VP-Head of AI Security, SAP
Tal Shapira
Co-Founder & CTO, Reco AI
Akram Sheriff
Senior AI/ML Software Engineering Leader, Cisco
Samantha Siau
Security and Compliance, Anthropic
Kevin Simmonds
Partner on AI Offensive Security, PWC
Martin Stanley
NIST AI RMF Lead, Independent
Omar A. Turner
General Manager of Security, Microsoft
Apostol Vassilev
AI Research Team Supervisor, NIST
Matthew Versaggi
AI Fellow, White House Presidential Innovation Fellow
David Webb
Agency Cybersecurity Officer, Cybersecurity and Infrastructure Security Agency
Dennis Xu
Research VP, AI, Gartner
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.