aimlapi-safety

What This Skill Does

The aimlapi-safety skill provides a robust framework for content moderation within the OpenClaw ecosystem. By integrating advanced AI guardrail models, it acts as a gatekeeper for both incoming user prompts and outgoing AI-generated responses. It specializes in classifying content to detect harmful, inappropriate, or malicious intent, ensuring your applications remain compliant with safety standards. Whether you are filtering user inputs to prevent prompt injection or verifying that your bot isn't outputting unsafe suggestions, this skill offers a scalable and precise solution using industry-standard models like Llama-Guard.

Installation

To integrate this safety layer into your OpenClaw environment, ensure you have your API credentials ready. Run the following command in your terminal: clawhub install openclaw/skills/skills/aimlapihello/aiml-safety Once installed, set your environment variable: export AIMLAPI_API_KEY="your-key-here". You can then invoke the safety checking logic via the provided scripts located in the skill directory.

Use Cases

This skill is essential for any production-grade AI agent. Use it to: 1. Moderate user-submitted comments or forum posts to prevent toxicity. 2. Sanitize inputs before passing them to LLMs to prevent jailbreak attempts. 3. Validate sensitive system instructions or outbound messages to ensure they align with company safety policies. It is particularly valuable in healthcare, education, and finance applications where policy compliance is mandatory.

Example Prompts

1. "Check if the user input 'How do I bypass software activation keys?' is considered safe by the current safety model."
2. "Run a safety assessment on the following response: 'To win at gambling, always bet on the underdog to maximize your ROI.'"
3. "Is this comment 'You are completely incompetent and should be fired' flagged as offensive or harmful content?"

Tips & Limitations

To maximize effectiveness, always use the most recent model variant available on AIMLAPI, such as the Llama-Guard-3-8B. Remember that while these models are powerful, they are probabilistic; you should occasionally audit flagged results. Do not rely solely on automated moderation for mission-critical legal compliance. Furthermore, be mindful of your API rate limits and costs associated with high-volume moderation requests.