Minara Skills takes AI coding assistants like Claude Code, OpenClaw, and Hermes and turns them into personal AI CFOs by enabling them to execute complex DeFi trading and wallet management tasks across more than 18 blockchain networks. The key to this project is its agent-centric skill routing architecture, which translates natural language prompts into specific CLI commands that handle everything from spot trading and perpetual futures to limit orders and market intelligence. This project is worth a look if you want to see how AI agents can be extended with robust, production-ready crypto trading capabilities that also pass stringent safety benchmarks.
What Minara Skills provides and how it works
At its core, Minara Skills is a collection of shell-based CLI tools (minara) designed to be invoked by AI coding agents. These agents receive natural language instructions from users and then route those instructions into explicit command-line calls that interact with various DeFi protocols and blockchain networks.
The repo supports a broad spectrum of networks including multiple EVM-compatible chains, Solana, and Hyperliquid. It covers common trading operations such as spot trading, perpetual futures, limit orders, as well as wallet management and market data retrieval. This multi-chain, multi-protocol support allows AI agents to operate more like full-fledged CFO assistants managing diversified crypto portfolios.
Under the hood, the architecture is tightly integrated with the AI agents’ skill invocation framework. When a user issues a natural language prompt, the agent translates it into a CLI command via predefined skill routing. The CLI then handles authentication flows, on-chain transaction signing and broadcasting, and fetching market intelligence data.
The CLI is implemented primarily in shell script and Node.js (for the npm CLI), facilitating easy installation and cross-platform compatibility. The skill files live inside the respective agent skill directories (~/.claude/skills/minara, ~/.openclaw/skills/minara, etc.), which allows seamless invocation from within the agent environment.
The skill routing architecture and safety benchmarking
What sets Minara Skills apart is its agent-centric skill routing design and its rigorous safety validation. The repository was tested with the crypto-skill-bench framework (v3.0.2) using Claude Sonnet 4.6, covering 76 different scenarios across multiple dimensions:
- Safety: 91
- Coverage: 86
- Robustness: 88
- Routing: 88
- User Experience (UX): 86
Overall, it scored 88/100 and passed the safety gate with zero failed tests (66 passed, 10 partial). This level of validation is rare in AI agent skills interacting with DeFi, where safety and correctness are paramount.
The skill routing mechanism works by associating natural language intents with exact CLI commands. This explicit routing reduces ambiguity and potential errors in command execution. Moreover, the CLI enforces authentication and permission checks, ensuring that agents act within predefined security boundaries.
The tradeoff here is the reliance on shell scripts and CLI commands, which may limit extensibility compared to fully programmatic SDKs. However, this choice enhances transparency and ease of integration with existing AI agent skill invocation systems.
The codebase is surprisingly clean for a multi-chain CLI tool, with clear separation between command parsing, authentication flows, and blockchain interaction modules. This modularity aids maintainability and testing.
Quick start with Minara Skills
Minara Skills offers straightforward one-click installation scripts tailored for each supported AI agent, making onboarding quick and reproducible.
For Claude Code
Send this prompt to your Claude Code agent:
Run "curl -fsSL https://raw.githubusercontent.com/Minara-AI/skills/main/scripts/claudecode-minara-skill-setup.sh | bash" to install Minara CLI, Minara Skills and set following config. Follow the login URL when prompted.
This script installs the Minara CLI, copies the skill files to ~/.claude/skills/minara, and initiates the OAuth login flow.
Alternatively, manual installation involves:
npm install -g minara@latest
git clone https://github.com/Minara-AI/skills.git /tmp/minara-skills
cp -r /tmp/minara-skills/skills/minara ~/.claude/skills/minara
For OpenClaw
Send this prompt to your OpenClaw agent:
Run "curl -fsSL https://raw.githubusercontent.com/Minara-AI/skills/main/scripts/openclaw-minara-skill-setup.sh | bash" to install Minara CLI, Minara Skills and set following config. Follow the login URL when prompted.
Or use ClawHub:
clawhub install lowesyang/minara
Manual installation options include:
git clone --branch main https://github.com/Minara-AI/skills.git /tmp/minara-skills
cp -r /tmp/minara-skills/skills/minara ~/.openclaw/workspace/skills/minara
Add the skill entry in ~/.openclaw/openclaw.json:
{
"skills": {
"entries": {
"minara": {
"enabled": true
}
}
}
}
For Hermes
Send this prompt to your Hermes agent:
Run "curl -fsSL https://raw.githubusercontent.com/Minara-AI/skills/main/scripts/hermes-minara-skill-setup.sh | bash" to install Minara CLI, Minara Skills and set following config. Follow the login URL when prompted.
Manual installation is similar to Claude Code’s approach:
npm install -g minara@latest
git clone https://github.com/Minara-AI/skills.git /tmp/minara-skills
cp -r /tmp/minara-skills/skills/minara ~/.hermes/skills/minara
The login flow ensures your agent is authenticated with the necessary wallets and permissions.
verdict
Minara Skills is a pragmatic and well-architected extension that transforms AI coding assistants into DeFi trading CFOs across multiple blockchain networks. Its strength lies in the explicit skill routing from natural language to CLI, combined with a solid safety benchmark score that few crypto skill projects achieve.
The tradeoff is the shell script-based CLI approach, which might feel limiting if you want more programmatic extensibility or deeper protocol customization. However, this design keeps the integration straightforward for AI agents that rely on CLI skill invocation.
If you’re working on AI agents that need to operate in multi-chain DeFi environments and want a tested, secure skill pack ready to deploy, Minara Skills is worth exploring. It’s especially relevant for developers building multi-agent systems or AI CFO assistants with real trading capabilities.
For those wanting a deeper dive into agent skill architectures or looking to benchmark crypto skill safety, this repo offers concrete examples and results that warrant attention.
Related Articles
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- openai/skills: modular agent skills for reusable AI capabilities — The openai/skills repo offers a catalog of modular ‘Agent Skills’ for OpenAI Codex agents, enabling reusable AI function
→ GitHub Repo: Minara-AI/skills ⭐ 263 · Shell