Review economics
openai/codex
Read from the 100 most recently merged pull requests ·
Not enough merged pull requests on both sides yet to compare how they land in review.
≥96%
Attributed
a floor
96
Attributed PRs
4
Other PRs
100
Read
Attributed — the latest 5
#36919 Merge local plugins into plugin search results
0 reviews · 0h to merge
#36917 Test explicit plugin mentions with disabled apps
0 reviews · 0h to merge
#36916 Centralize app enabled-state evaluation
0 reviews · 0h to merge
#36913 Move skill policy resolution into `codex-skills`
0 reviews · 0h to merge
#36912 Read approval policy from the current turn configuration
0 reviews · 0h to merge
The rest — the latest 4
#36635 Expose onboarding hints in login completion notifications
0 reviews · 0h to merge
#36534 Raise the MCP catalog item limit to 2,048
0 reviews · 0h to merge
#36411 Use Git repositories as pre-tool hook test markers
0 reviews · 0h to merge
#36365 Add strict automatic review for MCP elicitations
0 reviews · 0h to merge
How this was measured
96% 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; reads 100 of 8989 merged PRs — the rest have not been analyzed yet.
Detected: 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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