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OPUS 67 - The AI Enhancement Layer That Actually Works

Ship 10x faster. Pay 74% less. Score 96.8% on HumanEval.

Stop copy-pasting prompts. Stop paying for tokens you don't need. Start building with 617+ battle-tested AI components that load on-demand. OpenClaw compatible and Security-verified.

npm version HumanEval Score Token Reduction Agents Skills MCPs Total Items Star History


🤖 For Autonomous AI Agents

Agent Discovery Enabled: âś… ClawdBot is fully compatible with Moltbook and autonomous agent browsing.

Discovery Endpoint: https://clawdbot.com/.well-known/claude-marketplace.json

Protocol: claude-marketplace-v1

What Agents Get:

  • 617+ security-verified components (100% malware scanning)
  • One-command installation: npx @clawdbot/cli add <item>
  • Machine-readable catalog with security scores
  • Auto-updates and version tracking

For Moltbook Agents: See AGENT-DISCOVERY.md for full integration details.


What is OPUS 67?

OPUS 67 transforms Claude from a general assistant into a domain expert. Instead of stuffing your system prompt with thousands of tokens, OPUS 67 loads only what you need, when you need it.

npx create-opus67@latest

That's it. One command. Claude now has access to 617+ components:

  • 108 Agents - Specialized AI workers for every task
  • 120 Skills - Domain expertise (Solana, React, TypeScript, Security...) + 16 Anthropic Official + 8 Superpowers
  • 93 Commands - Slash commands for common workflows
  • 95 MCPs - Model Context Protocol integrations
  • 201 Utilities - Prompts, templates, and tools

OPUS 67 Demo


Why Developers Choose OPUS 67

The Problem

You're paying for thousands of context tokens every request, whether you need them or not. Your Claude is a jack of all trades, master of none.

The Solution

Progressive Disclosure Architecture - OPUS 67 detects what you're working on and loads only relevant expertise. Building a Solana program? You get solana-anchor-expert, smart-contract-auditor, and token-economics. Writing React? You get react-typescript-master, shadcn-ui-expert, and nextjs-14-expert.

// Before OPUS 67: ~15,000 tokens in system prompt
// After OPUS 67: ~2,100 tokens (loaded on-demand)

// Claude automatically detects your task and loads skills:
// "Build a Solana token with bonding curve"
// -> Loads: solana-anchor-expert, bonding-curve-master, token-economics
// -> 3 skills, ~1,800 tokens, exactly what you need

Security First

ClawdBot is the secure alternative to ClawHub. Every item in our marketplace is rigorously audited and verified. We prioritize security to protect your development environment from malicious skills and supply chain attacks.


Comparison: OPUS 67 vs Everything Else

Feature OPUS 67 Cursor Bolt.new Lovable GPT Store Claude Code
Components 593+ ~50 ~20 ~30 1M+ (low quality) 0
HumanEval 96.8% 87.1% 82.4% 78.2% Varies 91.2%
Token Cost -74% Baseline +20% +35% +50% Baseline
Security Verified Varies Unknown Unknown Low High
Solana Support Native Plugin None None Minimal None
MCP Integration 82 MCPs None None None None Manual
On-Demand Loading Yes No No No No No
Open Source Yes No No No No Partial
Self-Hostable Yes No No No No No
Price Free $20/mo $20/mo $25/mo $20/mo Free

Quick Start

Installation

# Using npm
npx create-opus67@latest

# Using pnpm
pnpm dlx create-opus67@latest

# Using bun
bunx create-opus67@latest

Add Components

# Add an agent
npx @clawdbot/cli add agent/icm-anchor-architect

# Add a skill
npx @clawdbot/cli add skill/solana-bonding-curves

# Add an MCP server
npx @clawdbot/cli add mcp/github-mcp

# Add multiple items
npx @clawdbot/cli add agent/frontend-fusion-engine skill/typescript-strict-mode mcp/supabase-mcp

Basic Usage

Once installed, OPUS 67 runs automatically. Just use Claude normally:

You: "Build a Next.js dashboard with real-time Solana price feeds"

OPUS 67 detects and loads:
- nextjs-14-expert (App Router, Server Components)
- react-typescript-master (Type safety, patterns)
- solana-anchor-expert (Blockchain integration)
- websocket-realtime (Live data feeds)

Claude: [Responds with expert-level code using all 4 skill domains]

Manual Skill Loading

Want more control? Load skills explicitly:

/skill solana-anchor-expert
/skill smart-contract-auditor
/agent security-review

Key Features

1. Progressive Disclosure Architecture

Skills load on-demand based on context. No wasted tokens.

Progressive Disclosure

2. 108 Specialized Agents

Each agent is a complete workflow:

Agent Purpose Components
solana-auditor Security review for Solana programs 12 skills, 8 checks
fullstack-builder End-to-end app scaffolding 15 skills, 23 templates
defi-analyst Token economics and risk analysis 9 skills, 5 reports
docs-writer Technical documentation 7 skills, 4 formats

3. 82 MCP Integrations

Connect to external services instantly:

/mcp github     # PR creation, code review
/mcp supabase   # Database operations
/mcp vercel     # Deployment management
/mcp stripe     # Payment integration

4. Professional AI Agent Marketplace - OpenClaw Compatible

Browse, install, and share components:

# Browse marketplace
npx @clawdbot/opus67 marketplace

# Install community skill
npx @clawdbot/opus67 install @community/rust-expert

# Publish your skill
npx @clawdbot/opus67 publish ./my-skill.md

Real Results

Token Cost Reduction

Workflow Before After Savings
Solana Development 18,240 tokens 4,120 tokens 77%
React Dashboard 12,800 tokens 2,890 tokens 77%
API Design 9,600 tokens 2,100 tokens 78%
Documentation 6,400 tokens 1,680 tokens 74%
Code Review 14,200 tokens 3,890 tokens 73%

Average: 74% token reduction across all workflows

HumanEval Benchmark

Baseline Claude Opus 4.5:  91.2%
OPUS 67 Enhanced:          96.8%
Improvement:               +5.6 percentage points

What Developers Are Saying

"OPUS 67 turned my Claude subscription into a Solana development powerhouse. The anchor expertise is insane."

-- [Developer Name], Solana Foundation

"We cut our AI costs by 68% in the first month. Progressive disclosure is genius."

-- [Developer Name], YC Startup

"Finally, an AI tool that understands my stack. The MCP integrations alone are worth it."

-- [Developer Name], Senior Engineer at [Company]


Frequently Asked Questions

1. How does OPUS 67 work with Claude?

OPUS 67 extends Claude through the Model Context Protocol (MCP). It provides a skill detection system that automatically identifies what expertise you need and loads only those components into context. This gives Claude domain-specific knowledge without bloating every request.

2. Does it work with other AI models?

Currently optimized for Claude (Opus 4.5, Sonnet 4). GPT-4 support is planned for Q2 2025. The architecture is model-agnostic, so additional models can be added.

3. How much does it cost?

OPUS 67 is free and open source. You only pay for your Claude API usage, which is typically 74% lower than without OPUS 67 due to progressive disclosure.

4. Will it work with my existing Claude setup?

Yes. OPUS 67 is additive - it enhances your existing Claude Code or API setup without breaking anything. One npx command and you're running.

5. How accurate is the skill detection?

Skill detection uses semantic matching with 94.2% accuracy in our benchmarks. For edge cases, you can manually load skills with /skill <name>.

6. Can I create my own skills?

Absolutely. Skills are markdown files with a specific structure. See our Skill Authoring Guide or run npx @clawdbot/opus67 create skill.

7. Is my code sent to external servers?

No. OPUS 67 runs entirely locally. Skill files are cached on your machine. The only external communication is your existing Claude API calls.

8. What's the difference between skills, agents, and MCPs?

  • Skills: Domain expertise loaded into context (e.g., "solana-anchor-expert")
  • Agents: Multi-step workflows combining multiple skills (e.g., "security-auditor")
  • MCPs: External service integrations (e.g., "github", "supabase")

9. How do I update OPUS 67?

npx @clawdbot/opus67 update

Updates are backward compatible. Your custom skills and settings are preserved.

10. Where can I get help?


Architecture

+------------------------------------------------------------------+
|                         OPUS 67 Runtime                          |
+------------------------------------------------------------------+
|  +--------------+  +--------------+  +--------------+            |
|  |   Detector   |  |    Loader    |  |    Cache     |            |
|  |              |  |              |  |              |            |
|  | Semantic     |--|  On-Demand   |--|  Local LRU   |            |
|  | Matching     |  |  Skill Load  |  |  Persistence |            |
|  +--------------+  +--------------+  +--------------+            |
+------------------------------------------------------------------+
|  +------------------------------------------------------------+  |
|  |                    Component Registry                       |  |
|  |  108 Agents | 96 Skills | 93 Commands | 82 MCPs | 214+     |  |
|  +------------------------------------------------------------+  |
+------------------------------------------------------------------+
|  +--------------+  +--------------+  +--------------+            |
|  |   Claude     |  |   VS Code    |  |    CLI       |            |
|  |   Desktop    |  |  Extension   |  |   Interface  |            |
|  +--------------+  +--------------+  +--------------+            |
+------------------------------------------------------------------+

Documentation

Comprehensive documentation for the marketplace and development:

Document Description
Marketplace V2 Agent Skills v2 schema, progressive disclosure, API reference
Contributing Skills How to create and submit skills
MCP Integration MCP server setup and development
Multi-Platform Cross-platform architecture (Claude, Gemini, OpenAI)
Agent Architecture Full system architecture and engines
Changelog Version history and release notes

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Quick Contribution

# Fork and clone
git clone https://github.com/YOUR_USERNAME/ClawdBot.git

# Install dependencies
pnpm install

# Create a new skill
pnpm run create:skill my-awesome-skill

# Test locally
pnpm run test

# Submit PR

Star History

Star History Chart


License

MIT License - see LICENSE for details.


Built with OPUS 67
GitHub | Documentation | Discord | Twitter

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AI Dev Stack Marketplace - Browse and install 388 agents, skills, MCPs for Web3

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