A production-grade AI coding agent designed to generate, review, debug, and refactor code with zero placeholders and verified syntax.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-assist
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install code-assist using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Code Assistant is a high-performance developer tool among the Openclaw Skills ecosystem that focuses on delivering production-ready code. Unlike standard AI assistants that provide templates, this skill is engineered to produce fully functional, runnable logic across languages like Python, JavaScript, Go, Rust, and C++.
By integrating directly with your workspace, it performs surgical edits, security reviews, and deep debugging. It prioritizes technical integrity by running physical verification checks on every output, ensuring that the code provided isn't just a suggestion, but a working solution.
To use this within your Openclaw Skills library, install the necessary binaries and configure your API key:
# Set your Evolink API key
export EVOLINK_API_KEY="your-key-here"
# Optional: Set a specific model
export EVOLINK_MODEL="model-name"
You can also create a .evocoderc.json in your project root for persistent configuration:
{
"defaultLanguage": "python",
"autoTest": true,
"verifyOnGenerate": true
}
Code Assistant manages data through a structured workflow to maintain project integrity:
| Data Type | Description | Handling |
|---|---|---|
| Workspace Files | Source code from the local environment | Read-only access with user consent |
| API Transmission | Snippets sent to api.evolink.ai | Discarded after response generation |
| Verification Logs | Output from syntax checks and tests | Displayed to user as proof of work |
| Config Files | .evocoderc.json |
Stores project-specific behavior settings |
package.json, go.mod, or Cargo.toml.evocode for headless automation and developer workflows.Loading
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