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在 OpenClaw 中安装
/install agent-safety-monitor
功能描述
Real-time AI agent safety monitoring, anomaly detection, and constraint enforcement. Use when building agent guardrails, detecting unsafe behaviors, enforcin...
使用说明 (SKILL.md)
Agent Safety Monitor
Monitor AI agent behavior in real-time, detect anomalies, and enforce safety constraints.
Quick Start
Run the monitor against an agent log stream:
python3 scripts/monitor.py --config safety_rules.yaml --input agent_logs/
Architecture
Agent Actions → Event Stream → Rule Engine → Alerts → Dashboard
↓
Anomaly Detector
↓
Auto-Pause/Kill
Safety Rule Types
- Rate limits: Max N actions per minute/hour
- Action allowlists: Only permit specific tool calls
- Content filters: Block PII exfiltration, harmful outputs
- Budget caps: Stop when cost exceeds threshold
- Scope limits: Restrict file/API/network access
- Behavioral anomalies: Flag unusual patterns (tool call frequency spikes, repetitive loops)
Rule Configuration
See references/rules-reference.md for the YAML schema.
Alert Channels
- Console (default)
- Webhook (Slack, Discord)
- File log
- Dashboard (HTTP server)
Dashboard
Launch the monitoring dashboard:
python3 scripts/dashboard.py --port 8080
安全使用建议
Review this before installing if you need real enforcement. The supplied code appears useful only for analyzing existing JSON logs and summarizing alerts; it should not be trusted to pause or kill agents, run a dashboard, or enforce scope limits without additional reviewed implementation. Do not provide wallets or sensitive credentials for this version.
能力标签
能力评估
Purpose & Capability
The stated purpose is real-time agent safety monitoring and constraint enforcement, but the supplied implementation appears to be an offline JSON log analyzer that records alerts and in-memory paused agent IDs rather than actually enforcing pause/kill or access controls.
Instruction Scope
The user-facing instructions are mostly scoped to running a local monitor script on user-provided logs, but they also advertise dashboard, webhook, and auto-enforcement features that are absent or unsupported in the provided artifacts.
Install Mechanism
There is no install spec, while the code imports external Python packages such as yaml and click and the SKILL references a missing dashboard script. This is mainly an operability/provenance gap, not evidence of malicious execution.
Credentials
Reading user-supplied agent logs and rule YAML is proportionate for a monitor, but registry capability signals mention wallet/sensitive credentials even though requirements and code do not justify them.
Persistence & Privilege
The provided code shows no persistence, privilege escalation, credential use, network access, or background execution; event and alert state is in memory only.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install agent-safety-monitor - 安装完成后,直接呼叫该 Skill 的名称或使用
/agent-safety-monitor触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: real-time agent monitoring, anomaly detection, rate limits, budget caps, scope enforcement
元数据
常见问题
Agent Safety Monitor 是什么?
Real-time AI agent safety monitoring, anomaly detection, and constraint enforcement. Use when building agent guardrails, detecting unsafe behaviors, enforcin... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 75 次。
如何安装 Agent Safety Monitor?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-safety-monitor」即可一键安装,无需额外配置。
Agent Safety Monitor 是免费的吗?
是的,Agent Safety Monitor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Agent Safety Monitor 支持哪些平台?
Agent Safety Monitor 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Agent Safety Monitor?
由 Evez666(@evezart)开发并维护,当前版本 v1.0.0。
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