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.

2026年10月每日更新🚀苹果美区账号 APPLE ID🚀免费Shadowrocket（小火箭）共享账号,Quantumult X，圈x，stash，小火箭节点，🚀 免费订阅地址，🚀 免费节点，🚀 每天更新一次，共享节点，节点质量高可用，完全免费。免费clash订阅地址，免费翻墙，免费科学上网，免费梯子，免费ss/v2ray/trojan/clash节点,翻墙梯子，Openai ChatGPT,代理,proxy代理科学上网,TG代理,电报代理,Telegram代理,免费共享苹果外区ID,clashx Pro客户端下载,Free subscription address,使用教程

01Result

dongyubin/Free-AppleId-Serve ↗

dongyubin/Free-AppleId-Serve AI coding statistics: 0%

of 35 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

Too little recent activity to publish. Only 35 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 35 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	35
Merge commits removed	−0
CI / dependency bots removed	−0
Considered	35

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

Continue exploring

Python AI coding statisticsCompare evidence across Python repositories →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 dongyubin/Free-AppleId-Serve

Scan another repository

Try