Best use case
safety-monitor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Safety Monitor
Teams using safety-monitor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/Safety/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How safety-monitor Compares
| Feature / Agent | safety-monitor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Safety Monitor
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Safety Monitor Agent Agent responsible for compliance and safety checks. It inspects content for safety violations, toxins, or medical misinformation. ## When to Use This Skill * Before returning any medical advice to a user. * To audit generated molecules for toxicity. * To check for Protected Health Information (PHI) leaks. ## Core Capabilities 1. **Content Inspection**: Scans text for dangerous content. 2. **LLM-based Audit**: Uses a separate LLM call to verify safety. 3. **Status Reporting**: Returns 'approved', 'flagged', or 'rejected'. ## Workflow 1. **Input**: Text content to check. 2. **Execute**: Run the safety agent. 3. **Output**: JSON status report. ## Example Usage **User**: "Check this drug proposal for safety." **Agent Action**: ```bash python3 Skills/Clinical/Safety/safety_agent.py ```
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