- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
山音超级编剧大师——由 @山音 设计的全格式影视编剧技能。 覆盖从1-3分钟概念超短片到90分钟电影长片、多集剧集的全格式剧本创作。 支持四种格式:概念超短片(how-to-tell/what-if)、5-10分钟叙事短片、90分钟长片(商业/文艺)、多集剧集。 覆盖从人物设计、结构大纲、场景拆解、到完整剧本写作的全流程。
01Result
Shanyin-ai/shanyin-screenwriting-master ↗Shanyin-ai/shanyin-screenwriting-master AI coding statistics: 0%
No signed agent commits found
No agent signatures were found in the last 6 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 | 6 |
| Merge commits removed | −0 |
| CI / dependency bots removed | −0 |
| Considered | 6 |
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 Shanyin-ai/shanyin-screenwriting-master