agent-safety-monitor

Real-time AI agent safety monitoring, anomaly detection, and constraint enforcement. Use when building agent guardrails, detecting unsafe behaviors, enforcing action limits, or creating safety dashboards for autonomous AI systems. Covers behavior logging, rule engines, alert systems, and compliance tracking.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

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Install skill "agent-safety-monitor" with this command: npx skills add evezart/agent-safety-monitor

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

  1. Rate limits: Max N actions per minute/hour
  2. Action allowlists: Only permit specific tool calls
  3. Content filters: Block PII exfiltration, harmful outputs
  4. Budget caps: Stop when cost exceeds threshold
  5. Scope limits: Restrict file/API/network access
  6. 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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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