Assess agent deployment security
trent-openclaw-securityskillsetup L2★5
trnt-ai/trent-openclaw-security-assessment ↗What it does
Audit OpenClaw Agent deployment for configuration security risks and chained attack paths
Best for
Post-deployment security audit of OpenClaw agents to catch configuration drift and multi-setting attack chains before production.
Inputs
- · TRENT_API_KEY environment variable
- · OpenClaw workspace configuration files
- · Installed skill manifests (Python packages)
Outputs
- · Security findings grouped by severity (CRITICAL/HIGH/MEDIUM/LOW)
- · Identified chained attack paths combining multiple misconfigurations
- · Recommended configuration fixes with diff snippets for manual review
Requires
- · Trent AI API (https://trent.ai/openclaw/)
- · Python 3 with OpenClaw SDK libraries
- · Optional: Custom config path via parameter
Preconditions
- · TRENT_API_KEY set in environment
- · OpenClaw deployment fully installed and configured
- · Python 3 interpreter with OpenClaw packages available
Failure modes
- · Phase 1 configuration audit can complete without finding issues (false negative on obscure misconfigs)
- · Phase 2 skill upload fails if secrets redaction logic doesn't catch custom formats
- · Phase 3 deep analysis requires thread ID from Phase 1 (must run in sequence)
- · Large workspaces may timeout on skill packaging scan
Trust signals
- · Three-phase methodology ensures no data uploaded without user review
- · Automatic redaction of .env, .pem, .key, .db files and standard secret formats
- · Integrated into OpenClaw lifecycle (version 1.4.0)