Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Check Google Antigravity AI model quota/token balance. Use when a user asks about their Antigravity usage, remaining tokens, model limits, quota status, or rate limits. Works by detecting the local Antigravity language server process and querying its API.
Check Google Antigravity AI model quota/token balance. Use when a user asks about their Antigravity usage, remaining tokens, model limits, quota status, or rate limits. Works by detecting the local Antigravity language server process and querying its API.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Check your Antigravity AI model quota and token balance.
# Check quota (auto-detects local Antigravity process) node scripts/agquota.js # JSON output for parsing node scripts/agquota.js --json # Verbose output (debugging) node scripts/agquota.js -v
Process Detection: Finds the running language_server_macos_arm (or platform equivalent) process Extracts Connection Info: Parses --extension_server_port and --csrf_token from process args Port Discovery: Scans nearby ports to find the HTTPS API endpoint (typically extensionPort + 1) Queries Local API: Hits https://127.0.0.1:{port}/exa.language_server_pb.LanguageServerService/GetUserStatus Displays Quota: Shows remaining percentage, reset time, and model info
Default output shows: User name, email, and tier Model name and remaining quota percentage Visual progress bar (color-coded: green >50%, yellow >20%, red โค20%) Reset countdown (e.g., "4h 32m") JSON output (--json) returns structured data: { "user": { "name": "...", "email": "...", "tier": "..." }, "models": [ { "label": "Claude Sonnet 4.5", "remainingPercent": 80, "resetTime": "..." } ], "timestamp": "2026-01-28T01:00:00.000Z" }
Node.js (uses built-in https module) Antigravity (or Windsurf) must be running
If the script fails: Ensure Antigravity/Windsurf is running Check if the language server process exists: ps aux | grep language_server The process must have --app_data_dir antigravity in its args (distinguishes from other Codeium forks)
PlatformProcess NamemacOS (ARM)language_server_macos_armmacOS (Intel)language_server_macosLinuxlanguage_server_linuxWindowslanguage_server_windows_x64.exe
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