secureclaw

Audit AI agent environments for misconfigurations and apply hardening rules.

34|5|Updated May 19, 2026
One-click install
npx skills add https://github.com/antgroup/Agent3Sigma-Canary --skill secureclaw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: secureclaw
Source: https://github.com/antgroup/Agent3Sigma-Canary/tree/main/workflow/images/offical_secureclaw/secureclaw/secureclaw
Command: npx skills add https://github.com/antgroup/Agent3Sigma-Canary --skill secureclaw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the critical security vulnerabilities inherent in AI agents, such as prompt injection, credential theft, and supply chain attacks, by providing a multi-layered defense framework that operates independently of the agent's core logic.

Core Features & Use Cases

  • Automated Security Auditing: Scans your agent installation for 56+ misconfigurations, including exposed gateway ports and weak file permissions.
  • Behavioral Hardening: Applies 15 LLM-based security rules to protect against prompt injection and unauthorized data exfiltration.
  • Supply Chain Protection: Scans installed skills for malicious patterns, obfuscated code, and known threat intelligence indicators.
  • Use Case: Use this Skill to automatically audit your agent's environment, lock down sensitive configuration files, and establish a daily security monitoring routine to prevent unauthorized access.

Quick Start

Run the secureclaw security audit to identify and fix critical vulnerabilities in your agent installation.

Frequently Asked Questions about secureclaw

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit my AI agent for prompt injection and credential exposure vulnerabilities?

You can audit your AI agent for prompt injection and credential exposure by running an automated security audit. This scans for 56+ misconfigurations, including exposed gateway ports and weak file permissions, across OWASP ASI, MITRE ATLAS, and NIST AI frameworks.

How does behavioral hardening protect against unauthorized data exfiltration in AI agents?

Behavioral hardening protects against unauthorized data exfiltration by applying 15 LLM-based security rules to the agent environment. This framework operates independently of the agent's core logic to mitigate risks like prompt injection without altering functionality.

Can I scan installed AI agent skills for malicious code and supply chain attacks?

Yes, you can scan installed skills for supply chain attacks by checking for malicious patterns, obfuscated code, and known threat intelligence indicators. This supply chain protection operates alongside automated security auditing to mitigate inherent agent vulnerabilities.

What frameworks are supported for AI agent threat detection and security hardening?

Threat detection and security hardening support the OWASP ASI, MITRE ATLAS, and NIST AI frameworks. Detection operates through script-based analysis and behavioral rule enforcement to ensure zero-token overhead during the security audit process.

Do I need specific dependencies or environments to run automated AI agent security auditing?

You need standard Unix tools and bash to execute the automated AI agent security auditing. The script-based analysis requires no external dependencies, ensuring zero-token overhead during threat detection and behavioral hardening enforcement.

What is the best way to establish a daily security monitoring routine for AI agent environments?

The best way to establish daily security monitoring is to run an automated security audit that identifies and fixes critical vulnerabilities. This routine locks down sensitive configuration files and enforces behavioral rules to prevent unauthorized access.