Dataset: 2026-10-27-catalog-ai-v2
Ruleset: b2e8889c66f7
Scanned: 2026-10-27
Window: February–September 15, 2026

Catalog tracking observation. This repository is measured with the same fixed window and ruleset, but it is not part of the published benchmark or its aggregate claims.

fragmject is a learning project prepared for Kotlin and Jetpack Compose. | fragmject 是一个为初学者准备的上手项目。通过对 Kotlin 和 Compose 的系统运用，实现的一个功能完备符合主流市场标准 App。 fragmject 没有复杂的业务和多余的封装，完全依照 Android Developer 官方的写法。代码简单，内容全面，快速上手，对理解其他项目设计思想和封装技巧也很有帮助。

01Result

miaowmiaow/fragmject ↗

miaowmiaow/fragmject AI coding statistics: 0%

of 26 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

Too little recent activity to publish. Only 26 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.

No signed agent commits found

No agent signatures were found in the last 26 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.

agent commits

other considered commits

—

agent contributors

—

largest contributor

02Drivers

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

No agent signatures were detected, so there are no agent, mode, or timing drivers to break down.

03Evidence

Inspect the matches

Public commit samples let you inspect the signatures behind the aggregate result.

No matched commit samples are available for this observation.

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	26
Merge commits removed	−0
CI / dependency bots removed	−0
Considered	26

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

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GitHub AI commit analyzerInspect another repository with the same evidence model →

Reproduce this observation

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 miaowmiaow/fragmject

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