safety-monitor
- Repo stars 330
- License MIT
- Author repo claude-skill-registry
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
- Content Inspection: Scans text for dangerous content.
- LLM-based Audit: Uses a separate LLM call to verify safety.
- Status Reporting: Returns 'approved', 'flagged', or 'rejected'.
Workflow
- Input: Text content to check.
- Execute: Run the safety agent.
- Output: JSON status report.
Example Usage
User: "Check this drug proposal for safety."
Agent Action:
python3 Skills/Clinical/Safety/safety_agent.py- Fluxly category
- Data
- Author-declared agents
- No explicit declaration found; this is not inferred or tested compatibility
- Static check
- 94 / 100 · heuristic scan, not runtime safety proof
- Author / version / license
- @majiayu000 · MIT
- Fluxly token estimate
- Lean
- Fluxly setup estimate
- Guided setup
- External API key
- No requirement detected
- Detected OS requirements
- Unspecified
- Runtime requirements
- Unspecified
- Detected file/system behavior
-
- Read-only
- Shell exec
- Detected network behavior
- Local-only
- Install commands
- None (reference only)
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
The current SKILL.md does not define a fixed output example. Before returning any medical advice to a user. To audit generated molecules for toxicity. To check for Protected Health Information (PHI) leaks.
Content Inspection: Scans text for dangerous content. LLM-based Audit: Uses a separate LLM call to verify safety. Status Reporting: Returns 'approved', 'flagged', or 'rejected'.
Input: Text content to check. Execute: Run the safety agent. Output: JSON status report.
User: "Check this drug proposal for safety." Agent Action:
# 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
``` Author text anchors workflow facts; Fluxly only indexes current sections, terms, files, and commands.
sections -> When to Use This Skill → Core Capabilities → Workflow → Example Usage
terms -> Content Inspection · LLM-based Audit · Status Reporting · Input · Execute · Output · User · Agent Action
files/cmd -> Skills/Clinical/Safety/safetyagent.py
body sha256 -> 59db2a4f070b
Decide Fit First
Design Intent
How To Use It
Boundaries And Review