oag is a lightweight CLI for managing a Git-based AI asset registry, enabling one-command install and update of age...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Codex
Model
Claude
Fastest way to find out if oag belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/wrenfix/oagRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/wrenfix/oagNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ oag/ ← installs here └─ settings.json
oag is a lightweight CLI for managing a Git-based AI asset registry, enabling one-command install and update of agents, skills, and MCP configs into local environments like Claude, Codex, and OpenCode for consistent setup and faster team collaboration.
Source: GitHub repository
Source check: No source check recorded
Repository state: Not marked archived
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