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.

Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

01Result

NVIDIA/skills ↗

NVIDIA/skills AI coding statistics: 19%

of 685 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

19% agent · top contributor 41.5%14 contributors

org-wide

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

130

agent commits

555

other considered commits

agent contributors

41.5%

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

130assisted

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

Peak month: 62.7%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	126	18.4%
OpenAI Codex	OpenAI	4	0.6%

03Evidence

Inspect the matches

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

Matched commit samples

408fab46 on GitHubfix(versions): watch skills/** so the check cannot be skippedClaude Code
b554b1be on GitHubfeat(versions): publish per-skill content provenance for consumersClaude Code
8b612fac on GitHubci: verify source-repo skills on onboarding PRsClaude Code
d611337f on GitHubRemove retired i4h catheter skills from registryOpenAI Codex
0bdc8f7f on GitHubfeat(medical-ai): register evidence export skillOpenAI Codex
273e6435 on GitHubRegister HoloHub skillsOpenAI Codex

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	690
Merge commits removed	−0
CI / dependency bots removed	−5
Considered	685

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 →OpenAI Codex commitsBrowse repositories with detected OpenAI Codex 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 NVIDIA/skills

Scan another repository

Try

Month	Agent share	Considered commits
2026-03	4.2%	24
2026-04	62.7%	51
2026-05	11.8%	178
2026-06	18.4%	114
2026-07	25.2%	107
2026-08	12.6%	135
2026-09	14.5%	76