Safety 监控
- 作者仓库星标 330
- 许可证 MIT
- 作者仓库 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- 流狐分类
- 数据
- 作者声明 Agent
- 未找到明确声明；不据此推断已兼容或已测试
- 静态检查
- 94 / 100 · 启发式扫描，不代表运行安全
- 作者 / 版本 / 许可
- @majiayu000 · MIT
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 需简单配置
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- Shell 执行
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无（仅作为资料）
档案由构建时根据 SKILL.md 与安装命令自动衍生，可能与作者实际意图存在差异。
需要注意： 未限定 allowed-tools，默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。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
```作者原文负责流程事实；流狐只索引当前章节、要点、文件与命令。
章节 -> When to Use This Skill → Core Capabilities → Workflow → Example Usage
要点 -> Content Inspection · LLM-based Audit · Status Reporting · Input · Execute · Output · User · Agent Action
文件/命令 -> Skills/Clinical/Safety/safetyagent.py
内容 SHA-256 -> 59db2a4f070b
方法与流程
适用与边界
原文中的明确线索
Skills/Clinical/Safety/safetyagent.py