Track AI generated code in your repository. Open standard. Detects 19 AI coding tools. CC0 spec.
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.
You can test this quickly and remove it cleanly if it misses.
GitHub health 75/100. no security policy. 1 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Claude
Fastest way to find out if ai-attestation 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/Korext/ai-attestation && cd ai-attestation && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ai-attestationNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ ai-attestation/ ← clones here
Track AI generated code in your repository. Open standard. Detects 19 AI coding tools. CC0 spec.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: May 30, 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.