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NVIDIA/SkillSpector
11.4%
of 315 commits were committed by an AI agent — a floor, not an estimate
11.4% agent · top contributor 38.9%17 contributors
org-wide

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

36
agent commits
279
human commits
17
agent contributors
38.9%
largest contributor

Assisted or autonomous

36assisted
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

May26
Jun26
Jul26
Aug26
Sep26

Peak month: 50%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic3310.5%
Cursor AgentAnysphere20.6%
GitHub CopilotGitHub10.3%

Verify it yourself

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

  • a1fca7cefeat(analyzer): detect insecure deserialization (AST10, TT6, DS1–DS4) (#24Claude Code
  • 2b408ee6fix(lp3): remediation and docs name allowed-tools for SKILL.md (#316)Claude Code
  • 12bd99faDetect whitespace padding used to hide prompt-injection instructions (P9) Claude Code
  • 76f4beb5fix(analyzers): HIGH SC8 when skill ships __pycache__ or .pyc (#357)Cursor Agent
  • c8e1626cfeat(provider): add anthropic_proxy provider for Vertex-style raw-predict Cursor Agent
  • 7f4a6957Fix Windows path separators and console encodingGitHub Copilot

What was excluded

Commits in window459
Merge commits removed141
CI / dependency bots removed3
Considered315

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 NVIDIA/SkillSpector

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