Pulse
2026-09-18-v3.0
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.

把书、长视频、播客等高价值内容蒸馏成可执行的 Agent Skills（Distill high-value content from books, long-form videos, podcasts, and more into executable Agent Skills）

01Result

kangarooking/cangjie-skill ↗

kangarooking/cangjie-skill AI coding statistics: 21.4%

of 56 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
Too little recent activity to publish. Only 56 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.
21.4% agent · top contributor 100%1 contributor
individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

12
agent commits
44
other considered commits
1
agent contributors
100%
largest contributor

02Drivers

What shapes this result

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

Assisted or autonomous

12assisted
0autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.

Agent share by month

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-0478.6%14
2026-050%9
2026-060%2
2026-075.9%17
2026-080%11
2026-090%3

Peak month: 78.6%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic1119.6%
Cursor AgentAnysphere11.8%

03Evidence

Inspect the matches

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

Matched commit samples

  • f590decc on GitHubdocs: 添加黄帝内经 skill 仓库引用（素问12+灵枢10=22个skills）Claude Code
  • 8156e2b1 on GitHubUse original high-quality PNG for QR codeClaude Code
  • 8c9c6b8d on GitHubReplace compressed JPEG with original high-quality PNGClaude Code
  • 859028ab on GitHubAdd delivery stage (DIGEST + install), generalize to video/podcast, hardenCursor Agent

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 window60
Merge commits removed−1
CI / dependency bots removed−3
Considered56

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 →Cursor Agent commitsBrowse repositories with detected Cursor Agent 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 kangarooking/cangjie-skill

Scan another repository

Try