Scan codebases and evaluate runtime actions for security risks.
npx skills add https://github.com/rbkayz/gitskills --skill agentguard-rbkayz
Please help me install this Agent Skill. Skill: agentguard Source: https://github.com/rbkayz/gitskills/tree/main/skills/registry/openclaw-agentguard Command: npx skills add https://github.com/rbkayz/gitskills --skill agentguard-rbkayz
This Skill acts as a security guard for AI agents, preventing dangerous commands, data leaks, and the exposure of secrets by auditing actions and code.
Scan the current directory for security risks.
High-intent search queries and answers about installing and using this skill.
To prevent dangerous commands and data leaks, AI agent security requires auditing runtime actions before execution. AgentGuard scans codebases and evaluates proposed actions like network requests or command execution, blocking operations deemed too risky based on predefined policies.
Action evaluation in AI agent security analyzes proposed runtime actions to determine if they are safe. It assesses risks like command execution, data exfiltration, and secret exposure, integrating with trust registries and predefined policies to block unsafe operations.
Scanning a codebase for security risks involves analyzing the current directory for vulnerabilities and dangerous patterns. AgentGuard performs this by evaluating code for command execution risks, potential data exfiltration, and secret exposure using predefined security policies.
Yes, you can configure different protection levels for action auditing. AgentGuard supports the configuration of security levels and manages trustworthiness through trust registries, allowing you to adjust how strictly proposed agent actions are evaluated and blocked.
Managing trust for different skills involves evaluating and maintaining a trust registry for agent components. AgentGuard provides trust management features to assess the trustworthiness of various skills before allowing them to execute actions within your environment.
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