Maintainer of this skill?
Automated security scan — not a certification.
by wanaku-ai
Wanaku Governed Action Proxy for AI Agents
# Add to your Claude Code skills
git clone https://github.com/wanaku-ai/wanakuLast scanned: 5/30/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-30T16:32:45.075Z",
"npmAuditRan": true,
"pipAuditRan": true
}See how wanaku compares with popular alternatives.
wanaku is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by wanaku-ai. Wanaku Governed Action Proxy for AI Agents. It has 134 GitHub stars.
Yes. wanaku passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/wanaku-ai/wanaku" and add it to your Claude Code skills directory (see the Installation section above).
wanaku is primarily written in Rust. It is open-source under wanaku-ai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh wanaku against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Wanaku is a governed action proxy for AI agents. It sits between agents and the systems they act on, intercepting Model Context Protocol (MCP) tool calls, agent-to-agent messages, and inference traffic. Before version 0.2.0, the project was named Wanaku MCP Router. It was renamed to Wanaku Governed Execution Proxy to reflect its expanded scope.
Wanaku supports open standards for AI agents and provides first-class integration with enterprise frameworks, including Apache Camel and Quarkus. For example, integration developers build Apache Camel routes and use Wanaku's Camel Integration Capability to publish them as tools. Agents call those tools with parameters, but Wanaku runs the work. Agents never access backend systems directly. The proxy enforces policy, identity, data controls, and audit requirements.
The project name comes from the origin of guanaco, a camelid native to South America.
Download the latest early-access build on Linux or macOS:
curl -fsSL https://raw.githubusercontent.com/wanaku-ai/wanaku/main/get-wanaku.sh | bash
The installer detects the host platform, verifies the release checksum, and installs wanaku-server into $HOME/bin.
Override the destination with WANAKU_INSTALL_DIR.
Run wanaku-server and access http://localhost:8080 to enter the dashboard:
If you prefer a text interface, you may also download and use the Wanaku CLI from theWanaku Barn project.
The easiest way to learn Wanaku is by following the guided tutorial.
The reference documentation, including the complete installation and configuration instructions, is available in the usage guide.
All tools from the remote server now appear in your local catalog. The client has no idea they're forwarded.
The Wanaku Documentation website contains the full project documentation.
Contributors working on the project may want to refer to the development documentation:
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.