- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
「辰宇落雁體」是我與韋辰在學校的自主學習計畫,由韋辰負責書寫,我進行後製而成。手寫字型就像是我們將字詞複寫於紙上,讓字跡留下,以這種近似雋永的形式封裝,使被複寫的日常沒有保存期限,也像是一種永恆的召喚,在任何無法抵達的以後,都能為你書寫成篇。
01Result
Chenyu-otf/chenyuluoyan_thin ↗Chenyu-otf/chenyuluoyan_thin AI coding statistics: 0%
No signed agent commits found
No agent signatures were found in the last 0 considered commits. That is a real result, not a failure to measure.
It does not mean no AI was used here. A developer can use an agent and commit by hand without leaving a detectable git signature.
02Drivers
What shapes this result
Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
04Method
What entered the denominator
The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.
Exclusion ledger
| Commits in window | 0 |
| Merge commits removed | −0 |
| CI / dependency bots removed | −0 |
| Considered | 0 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
Continue exploring
Related coding-agent evidence
Run the same detector locally.
Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.
npx qmmit-cli Chenyu-otf/chenyuluoyan_thin