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.

an unhealthy amount of work has been put into this...star it?

01Result

dusklinux/dusky ↗

dusklinux/dusky AI coding statistics: 0%

of 4,499 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

No signed agent commits found

No agent signatures were found in the last 4,499 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

4,497

other considered commits

agent contributors

50%

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.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	2	0%

03Evidence

Inspect the matches

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

Matched commit samples

1a13d233 on GitHubfix(hypr): stop the vesktop matugen rule from matching the Vesktop appClaude Code
8bf6da8e on GitHubUse PATH-based commands for NixOS compatibilityClaude Code

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	4,652
Merge commits removed	−153
CI / dependency bots removed	−0
Considered	4,499

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

Continue exploring

Claude Code commitsBrowse repositories with detected Claude Code signatures →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 dusklinux/dusky

Scan another repository

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