Capture, normalize, and analyze tool-call activity across AI coding assistants (Claude Code, Codex, Cursor, Cline, Co...
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 42/100. no security policy. 5 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Claude
Fastest way to find out if superbased-observer 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/marmutapp/superbased-observer ~/.claude/commands/superbased-observerRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/commands/superbased-observerNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ │ └─ superbased-observer/ ← installs here ├─ agents/ └─ settings.json
Capture, normalize, and analyze tool-call activity across AI coding assistants (Claude Code, Codex, Cursor, Cline, Copilot, OpenCode, OpenClaw, Pi).
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 17, 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.