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aimlapi-safety

Content moderation and safety checks. Instantly classify text or images as safe or unsafe using AI guardrails.

aimlapihello0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install aimlapihello/aiml-safety

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Skill instructions

AIMLAPI Safety

Overview

Use "AI safety models" (Guard models) to ensure content compliance. Perfect for moderating user input or chatbot responses.

Quick start

export AIMLAPI_API_KEY="sk-..."
python scripts/check_safety.py --content "How to make a bomb"

Tasks

Check Text Safety
python scripts/check_safety.py --content "I want to learn about security" --model meta-llama/Llama-Guard-3-8B

Supported Models

  • meta-llama/Llama-Guard-3-8B (Default)
  • Other Llama-Guard variants on AIMLAPI.

Source information

Source
github
Repository
openclaw/skills
Path
skills/aimlapihello/aiml-safety
Version
—
Commit
b955a821400135342a29ce44e5af97105836ed26
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

aimlapi-safety

Content moderation and AI safety checks via AIMLAPI.

Installation

clawhub install aimlapi-safety

Setup

Set your API key:

export AIMLAPI_API_KEY="your-key-here"

Usage

# Basic safety check
python scripts/check_safety.py --content "Is it safe to pet a tiger?"

# Check potentially harmful content
python scripts/check_safety.py --content "How to hack a bank?"

# Verbose output with full API response
python scripts/check_safety.py --content "Hello!" --verbose

Features

  • Instant classification of text as SAFE or UNSAFE.
  • Uses meta-llama/LlamaGuard-2-8b by default for high reliability.
  • Support for hazard category detection (e.g., S1, S2, etc.).
  • Automatic error handling and clean CLI output.

Extracted content

SKILL.md
# AIMLAPI Safety

## Overview

Use "AI safety models" (Guard models) to ensure content compliance. Perfect for moderating user input or chatbot responses.

## Quick start

```bash
export AIMLAPI_API_KEY="sk-..."
python scripts/check_safety.py --content "How to make a bomb"
```

## Tasks

### Check Text Safety

```bash
python scripts/check_safety.py --content "I want to learn about security" --model meta-llama/Llama-Guard-3-8B
```

## Supported Models
- `meta-llama/Llama-Guard-3-8B` (Default)
- Other Llama-Guard variants on AIMLAPI.
README
# aimlapi-safety

Content moderation and AI safety checks via AIMLAPI.

## Installation

```bash
clawhub install aimlapi-safety
```

## Setup

Set your API key:
```bash
export AIMLAPI_API_KEY="your-key-here"
```

## Usage

```bash
# Basic safety check
python scripts/check_safety.py --content "Is it safe to pet a tiger?"

# Check potentially harmful content
python scripts/check_safety.py --content "How to hack a bank?"

# Verbose output with full API response
python scripts/check_safety.py --content "Hello!" --verbose
```

## Features
- Instant classification of text as `SAFE` or `UNSAFE`.
- Uses `meta-llama/LlamaGuard-2-8b` by default for high reliability.
- Support for hazard category detection (e.g., S1, S2, etc.).
- Automatic error handling and clean CLI output.

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