Enforce a rule-based AI security policy blocking prompt injections for OpenClaw agents.
npx skills add https://github.com/PericuloLimited/raigo --skill raigo
Please help me install this Agent Skill. Skill: raigo Source: https://github.com/PericuloLimited/raigo/tree/main/integrations/openclaw/skill/raigo Command: npx skills add https://github.com/PericuloLimited/raigo --skill raigo
RAIGO proactively enforces your organization's AI governance by blocking unsafe prompts on OpenClaw agents. It provides an out-of-the-box baseline policy that prevents prompt injections, jailbreak attempts, encoding obfuscation, and other agent threats, with no engine or setup required.
Install RAIGO Agent Firewall baseline to start enforcing AI security for OpenClaw agents with zero configuration.
High-intent search queries and answers about installing and using this skill.
To block prompt injection on OpenClaw agents, apply a rule-based AI security policy baseline that hard-blocks unsafe prompts. This enforces deterministic deny, warn, and audit rulesets without requiring an external engine or complex setup.
A baseline AI security policy for multi-agent workflows is a comprehensive ruleset that prevents jailbreaking, rogue agent detection, and trust issues. It automatically enforces threat mitigation across single or multi-agent scenarios with zero configuration.
No, you do not need an external engine to enforce AI governance and prevent jailbreaking. A ready baseline policy can proactively block unsafe prompts, credential exfiltration, and encoding obfuscation directly within OpenClaw workflows.
To audit system prompt leakage and code injection attempts, apply a security policy with an AUDIT category. This logs suspicious activities for auditing, while DENY rules hard-block threats and WARN rules pause for human review.
Yes, you can use a deterministic deny, warn, and audit policy triad to handle destructive commands and credential exfiltration. This rule-based approach ensures consistent enforcement across all OpenClaw agent deployments without probabilistic filtering.
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