Loop Engineering for Kaggle, built entirely on the Claude Code ecosystem (Skills + Hooks): scout → survey → hypothesi...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
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 42/100. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if kaggloop 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/qurore/kaggloopRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/qurore/kaggloopNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ kaggloop/ ← installs here └─ settings.json
Loop Engineering for Kaggle, built entirely on the Claude Code ecosystem (Skills + Hooks): scout → survey → hypothesize → experiment (Colab) → submit. Exploratory, science-backed, human picks the competition.
Source: GitHub repository
Source check: No source check recorded
Upstream commit: July 12, 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.