monitoring intermediate active

OpenClaw Detect

Your bot is being abused right now. You won't know until tomorrow. Detect adds real-time anomaly alerts in 20 minutes.

openclaw detect anomaly monitoring security alerting knostic

What breaks without openclaw anomaly detection

Traffic spikes invisible until a crash. Prompt injection attempts arriving undetected. Error rate increases showing up in logs days later.

→
Real-time bot abuse detection × baseline-deviation anomaly monitoring ÷ 20-minute install ÷ no custom monitoring scripts needed = attacks caught before they cause damage.

openclaw anomaly detection — what it actually does

01
Monitors the message event stream for traffic, error, and payload anomalies.
02
Detects rate spikes, injection patterns, and plugin error surges in real time.
03
Sends configurable alerts to any connected OpenClaw channel on anomaly detection.
04
Establishes behavioral baselines automatically from normal operation patterns.
05
Covers prompt injection detection as a security-specific anomaly category.

Security check — openclaw anomaly detection

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm Linux, macOS; OpenClaw ≥1.2; pairs well with openclaw-telemetry compatibility.

Quick start — openclaw anomaly detection in 20–30 minutes

Setup time: 20–30 minutes

!
You need:
  • OpenClaw core
  • alerting backend (webhook
  • email
  • or Telegram)
  • Node.js ≥18

Install the package:

npm install @knostic/openclaw-detect
1
Install the plugin
2
Configure an alert webhook URL
3
Add plugin to openclaw.config.js
4
Set detection thresholds in the detect config block
5
Restart OpenClaw
6
Trigger a test anomaly (send 100 messages rapidly) to verify alert delivery

Troubleshooting openclaw anomaly detection

1
1. Setting detection thresholds too low — causes alert fatigue during normal traffic spikes
2
2. Not testing alert delivery before relying on it — verify your webhook is reachable
3
3. Using this as your only security layer — detection supplements hardening, it doesn't replace it

Compatibility & status

Works with: Linux, macOS; OpenClaw ≥1.2; pairs well with openclaw-telemetry intermediate Last updated: Sep 2025 ★ 165 on GitHub MIT

Official docs →

View on GitHub →

FAQ — openclaw anomaly detection

Can this detect prompt injection attacks?

It includes heuristic detection for common injection patterns. It's not a comprehensive security solution, but catches obvious automated injection attempts.

Does this slow down message processing?

The detection logic runs asynchronously and adds <1ms overhead per message.

How are baselines stored?

Baselines are persisted to a local JSON file. On restart, the plugin loads the existing baseline.

Related — more like openclaw anomaly detection

OpenClaw Telemetry
From opaque bot runtime to full observability — OpenClaw telemetry plugin with OpenTelemetry support.
OpenClaw Security Practice Guide
From default configuration to hardened deployment — SlowMist's security practice guide for OpenClaw operators.
Tork Guardian
Monitor OpenClaw agent activity for policy violations, suspicious commands, and permission overreach.
OpenClaw Security Policy
From unknown exposure to responsible disclosure — OpenClaw's official security policy and reporting channel.

More by knostic

OpenClaw Telemetry
Integrations

Abuse detected after the damage is done still requires a full incident response.

Every prompt injection that runs undetected extracts whatever your bot has access to.

Get it on GitHub →