Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 50/100. no security policy. 27 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if onWatch belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/onllm-dev/onWatch ~/.claude/commands/onwatchRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/commands/onwatchNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ │ └─ onwatch/ ← installs here ├─ agents/ └─ settings.json
Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dashboard. Zero telemetry.. An open-source tool for the AI coding ecosystem.
Source: GitHub repository
Source check: July 23, 2026
Upstream commit: June 19, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.