Review economics

K-Dense-AI/scientific-agent-skills

Read from the 73 most recently merged pull requests ·

Pull requests with attributed agent authorship took only 1.0× the reviews submitted of the rest.

≥15%

Attributed

a floor

18

Attributed PRs

55

Other PRs

73

Read

Per pull requestAttributedRestRatio
Review rounds0.00.00.0×
Reviews submitted0.91.01.0×
Commits after first review0.10.80.2×
Reverts0.00.0
Time to merge9.2d5.5d1.7×

How this was measured

15% 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.

Detected: Claude Code, OpenAI Codex, Cursor agent.

“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

XLinkedInHacker News
Review tax badge for K-Dense-AI/scientific-agent-skills

The badge reads this repo’s current report, so it follows the number.

Tell me when this moves

We re-read K-Dense-AI/scientific-agent-skills 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-tax

Want this continuously on K-Dense-AI/scientific-agent-skills — 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