A professional monitoring skill for managing Flowtriq-protected infrastructure and DDoS telemetry via an AI agent.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install flowtriq
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install flowtriq using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Flowtriq Monitor skill empowers developers and security operations teams to oversee their infrastructure's protection status directly through their AI agent. By utilizing Openclaw Skills, users can transition from manual dashboard checking to natural language queries about active attacks, node health, and traffic thresholds. This integration acts as a virtual NOC assistant, pulling live data from the Flowtriq API to provide instant visibility into your server's security posture.
Whether you are dealing with a sudden traffic spike or need to verify agent configuration, this skill synthesizes raw API responses into actionable insights. It provides a seamless bridge between your security stack and your workspace, ensuring that critical DDoS metrics and mitigation statuses are always just a question away.
To activate these Openclaw Skills, you must provide your Flowtriq credentials via environment variables. Obtain your API Key and Node UUID from the Flowtriq dashboard under Settings.
export FLOWTRIQ_API_KEY="your_api_key"
export FLOWTRIQ_NODE_UUID="your_node_uuid"
Once the variables are set, restart your agent to enable full monitoring capabilities.
The skill organizes security telemetry into several key categories to ensure clarity in reporting:
| Attribute | Description |
|---|---|
| attack_family | Classification of the threat (e.g., SYN Flood, UDP Flood, DNS Amplification) |
| pps_threshold | The configured traffic limit that triggers an incident response |
| baseline.p99_pps | The normal operating traffic level calculated over time |
| severity | Impact classification ranging from Low to Critical based on baseline multiples |
| source_ip_count | The number of unique IP addresses involved in a detected incident |
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