superclaw  by SuperagenticAI

Proactive security validation for autonomous AI agents

Created 5 months ago
334 stars

Top 81.9% on SourcePulse

GitHubView on GitHub
Project Summary

SuperClaw is a pre-deployment security testing framework designed to systematically identify vulnerabilities in AI coding agents before they interact with sensitive data or external systems. It targets developers and security engineers building or deploying autonomous agents, offering a scenario-driven, behavior-first approach to proactively uncover risks like prompt injection, tool misuse, and behavioral drift, thereby enhancing agent security and reliability.

How It Works

SuperClaw operates on a scenario-driven, behavior-first methodology. It defines security properties through structured "behavior contracts" that specify intent, success criteria, and mitigation guidance. The framework generates and executes adversarial scenarios against target agents, utilizing adapters for different agent types (e.g., OpenClaw, mock). It meticulously records evidence, including tool calls and outputs, for each attack, producing actionable reports that detail findings and suggest mitigations. This evidence-first reporting and reproducible scenario execution enable thorough security evaluations.

Quick Start & Requirements

  • Primary install: pip install superclaw
  • Prerequisites: Written authorization to test the target system, an isolated test environment (sandbox/VM recommended), and understanding of security guidelines.
  • Links: Full Docs available at superagenticai.github.io/superclaw.

Highlighted Details

  • Supported Targets: OpenClaw agents via ACP WebSocket, a mock adapter for offline deterministic testing, and support for custom adapters.
  • Attack Techniques: Includes prompt injection, various encoding obfuscation methods, jailbreaking techniques, tool-policy bypass, and multi-turn escalation.
  • Security Behaviors: Covers critical areas such as prompt injection resistance, sandbox isolation, tool policy enforcement, session boundary integrity, configuration drift detection, and ACP protocol security.
  • Reporting: Generates reports in HTML, JSON, or SARIF formats, facilitating CI/CD integration (e.g., GitHub Code Scanning).
  • Integration: Offers integration with CodeOptiX for multi-modal security evaluations.

Maintenance & Community

SuperClaw is part of the Superagentic AI ecosystem. Contribution guidelines are provided via CONTRIBUTING.md, CODE_OF_CONDUCT.md, and SECURITY.md. Specific community channels or prominent maintainer details are not detailed in the README.

Licensing & Compatibility

The project is licensed under the Apache 2.0 license. No specific restrictions for commercial use or closed-source linking are mentioned beyond the standard terms of the Apache 2.0 license.

Limitations & Caveats

SuperClaw is strictly a security testing tool and does not generate agents, run production workloads, or automate real-world exploitation. It mandates authorized testing only, requiring explicit written permission and sandboxed environments. By default, it operates in a local-only mode; remote target testing requires a SUPERCLAW_AUTH_TOKEN obtained from the system administrator.

Health Check
Last Commit

5 months ago

Responsiveness

Inactive

Pull Requests (30d)
1
Issues (30d)
0
Star History
101 stars in the last 30 days

Explore Similar Projects

Feedback? Help us improve.