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virgiliojr94/book-to-skill
32.6%
of 172 commits were committed by an AI agent — a floor, not an estimate
32.6% agent · top contributor 44.6%11 contributors
org-wide

Adoption is broad. Many contributors are committing agent-authored work, which is what a real organisational rollout looks like.

56
agent commits
116
human commits
11
agent contributors
44.6%
largest contributor

Assisted or autonomous

56assisted
0autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. The agent ran git commit during a working session, with a person there. Autonomous — a bot identity is the author, no human in the loop. Across the whole index, 93.7% of agent commits are assisted.

Agent share by month

Apr26
May26
Jun26
Jul26
Aug26
Sep26

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

Which agents

Claude CodeAnthropic4526.2%
GitHub CopilotGitHub105.8%
Cursor AgentAnysphere10.6%

Verify it yourself

Sample commits that matched. Every one links to GitHub — check the trailers.

  • 349dc436feat(skill): default generated skills to ~/.agents/skills with Claude CodeClaude Code
  • 7bcfcd52fix(config): give each run its own workdir so concurrent extractions cannoClaude Code
  • 903d102ftest(security): skip POSIX permission assertions on Windows (#155)Claude Code
  • 6ea000bdPotential fix for pull request findingGitHub Copilot
  • 7398f33adocs: update README with book type question, Docling option and benchmarkGitHub Copilot
  • 3a489cfffeat: ask book type before extraction to choose pdftotext vs DoclingGitHub Copilot
  • a6cad12ddocs: add Simplified Chinese README (#204)Cursor Agent

What was excluded

Commits in window183
Merge commits removed3
CI / dependency bots removed8
Considered172

Bots are excluded from the denominator entirely. Counting dependabot as “AI-written code” is the fastest way to produce a meaningless number.

How this was measured

Measured over February–August 2026, cloned directly. Detection is deterministic string matching against signatures agents write about themselves — no heuristics, no style analysis. Merge commits and CI bots are excluded from the denominator. The figure is a floor: squash merges strip trailers, so real usage is higher. Contributor counts are aggregate — no individual is named.

Run it yourself: npx qmmit-cli virgiliojr94/book-to-skill

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