OpenClaw Vertex Setup

Configure OpenClaw to use Google Vertex AI Gemini models so normal OpenClaw startup, Gateway service startup, and TUI usage all work without manual shell set...

This skill appears to do exactly what it claims: configure OpenClaw and system startup to use Google Vertex via ADC and shared env. Before applying changes: (1) back up ~/.openclaw and any launchd plist you modify; (2) prefer gcloud ADC (gcloud auth application-default login) over pasting API keys into config files; (3) if you must add credentials to auth-profiles.json, understand those will be stored in your home directory in plaintext and consider tighter file permissions; (4) verify which openclaw binary (which -a openclaw) and reinstall the Gateway from that same binary as instructed; (5) verify the referenced GitHub repo/author if you need provenance — README contains a repo link but the skill metadata had no homepage. If you are uncomfortable storing credentials in OpenClaw config, perform the verification steps manually rather than bulk-applying edits.

Type: OpenClaw Skill Name: openclaw-vertex-setup Version: 1.0.0 The skill bundle is a legitimate configuration utility designed to set up Google Vertex AI for the OpenClaw agent. It provides detailed instructions in SKILL.md for managing environment variables, authentication profiles, and service lifecycle commands (e.g., 'openclaw gateway install'). While it includes a Python script for API verification and suggests modifications to local configuration files (~/.openclaw/.env), these actions are transparently documented and strictly aligned with the stated goal of enabling Vertex AI integration.