Review economics
OpenSenseNova/SenseNova-Skills
Read from the 100 most recently merged pull requests ·
Pull requests with attributed agent authorship took only 0.8× the reviews submitted of the rest.
≥20%
Attributed
a floor
34
Attributed PRs
66
Other PRs
100
Read
Attributed — the latest 5
#139 fix(nano_banana): surface Gemini finishReason
1 reviews · 8.2d to merge
#140 docs: biweekly report update 6.22-7.5
2 reviews · 2h to merge
#134 chore(skills): remove obsolete research pipeline skills
1 reviews · 1h to merge
#133 feat(skills): align deep-research & search skills with latest local
1 reviews · 4.2d to merge
#124 docs: add biweekly report_en for SenseNova Skills
2 reviews · 23h to merge
The rest — the latest 5
#146 docs: update biweekly report 7.6-7.26
1 reviews · 3h to merge
#147 feat: add packaged Research workbench runtime and refresh PPT runtime
1 reviews · 1h to merge
#144 docs: update community group QR code
1 reviews · 0h to merge
#142 feat: add PPT workbench with generation progress monitor and slide editor
1 reviews · 9.1d to merge
#143 fix(deep-research): preserve user language across workflow
1 reviews · 0h to merge
How this was measured
20% 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; 1 PR came off an agent branch with no commit attribution, so the real share runs higher; reads 100 of 101 merged PRs — the rest have not been analyzed yet.
Detected: Claude Code, GitHub Copilot coding agent, OpenAI Codex.
“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.
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