Review economics
jianchang512/pyvideotrans
Read from the 40 most recently merged pull requests ·
Pull requests with attributed agent authorship took 3.7× the time to merge of the rest.
≥5%
Attributed
a floor
3
Attributed PRs
37
Other PRs
40
Read
Attributed — the latest 3
The rest — the latest 5
#1156 fix(cli): support direct voice identifier in role list mapping
0 reviews · 0h to merge
#1136 Fix: Multi-Role Dubbing per-row voice assignments are silently ignored (SrtItem.get signature)
0 reviews · 0h to merge
#1131 Bug fix: 修复 CosyVoice3 提示词和试听声道兼容
0 reviews · 2h to merge
#1128 feat(minimax): upgrade default model to MiniMax-M3
0 reviews · 10h to merge
#1122 bug fix: return full source subtitles
0 reviews · 0h to merge
How this was measured
5% of merged commits carry agent attribution — a floor, not the share; tools that only complete code inline leave no commit trail, so the unattributed side includes AI-assisted work.
Detected: Claude Code.
“Attributed” means a commit carried an agent’s signature — a co-author trailer, an agent commit identity, or an agent bot account. Tools that only complete code inline leave no such mark, so the other column is “rest”, not “human-written”. Full method and its limits
The badge reads this repo’s current report, so it follows the number.
Tell me when this moves
We re-read jianchang512/pyvideotrans weekly and email only when the number changes materially.
Read your own repos
This one is public. For a private repo, run the same read locally through your own GitHub credentials — nothing is installed and nothing is sent to us.
npx @ambera/review-taxWant this continuously on jianchang512/pyvideotrans — each pull request paired to the task it came from, and the work graded from its review loop rather than its diff size? Claim this repo in Forge
Browse every repo people have read · Read a different repository