ClawSec Monitor is a transparent HTTP/HTTPS proxy designed to inspect, log, and secure all real-time traffic generated by AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawsec-bak
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 clawsec-bak using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ClawSec Monitor v3.0 serves as a critical security layer between AI agents and the internet. By acting as a transparent proxy, it intercepts every request and response to scan for potential threats. This tool is essential for developers using Openclaw Skills who need deep visibility into agent behavior, ensuring that sensitive data like API keys or SSH credentials are not leaked during autonomous operations.
The system utilizes full Man-in-the-Middle (MITM) interception for HTTPS traffic. It achieves this by generating a local CA to sign per-host certificates, allowing the proxy to view plaintext data before re-encrypting it for its destination. This provides a comprehensive security audit trail for both outbound requests and inbound responses, making it a cornerstone for safe AI deployment.
asyncio.start_tls().First, start the monitor to generate the necessary CA certificates:
# Start the proxy monitor
python3 clawsec-monitor.py start
Install the generated certificate (/tmp/clawsec/ca.crt) into your system or process trust store. For example, on macOS:
# Trust the CA certificate
sudo security add-trusted-cert -d -r trustRoot -k /Library/Keychains/System.keychain /tmp/clawsec/ca.crt
Finally, route your Openclaw Skills agent traffic through the proxy:
export HTTP_PROXY=http://127.0.0.1:8888
export HTTPS_PROXY=http://127.0.0.1:8888
ClawSec Monitor organizes its security data in /tmp/clawsec/threats.jsonl. Each entry follows this schema:
| Field | Description | Example |
|---|---|---|
direction |
Flow relative to agent | outbound, inbound |
threat_type |
Category of threat | EXFIL, INJECTION |
pattern |
Specific rule triggered | ai_api_key, shell_exec |
snippet |
Contextual text match | Authorization: Bearer sk-ant-... |
dest |
Target host and port | api.anthropic.com:443 |
timestamp |
ISO 8601 UTC time | 2026-02-19T13:41:59Z |
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