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.

GitHub App to set and enforce security policies

01Result

ossf/allstar ↗

ossf/allstar AI coding statistics: 75.5%

of 53 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

Too little recent activity to publish. Only 53 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.

75.5% agent · top contributor 67.5%3 contributors

individual

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

agent commits

other considered commits

agent contributors

67.5%

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

29assisted

11autonomous

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

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	27	50.9%
GitHub Copilot	GitHub	13	24.5%

03Evidence

Inspect the matches

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

Matched commit samples

80360db5 on GitHubfix: uncomment workflow_dispatch, resolve zizmor findingsClaude Code
77ad97a4 on GitHubci: add zizmor workflow for GitHub Actions security lintingClaude Code
da2b9b88 on GitHubadd: build-from-source workflow as allstar-from-ref.ymlClaude Code
476ff676 on GitHubchore: update scorecard to v5.5.0GitHub Copilot
6f36ce90 on GitHubAdd deadcode to CI and fix existing dead code (clearSARIFHashes)GitHub Copilot
27d3a9ac on GitHubRemove dead code from scorecard SARIF upload logicGitHub Copilot

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	118
Merge commits removed	−0
CI / dependency bots removed	−65
Considered	53

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 →GitHub Copilot commitsBrowse repositories with detected GitHub Copilot signatures →Go AI coding statisticsCompare evidence across Go 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 ossf/allstar

Scan another repository

Try

Month	Agent share	Considered commits
2026-03	100%	20
2026-04	90.9%	22
2026-06	0%	1
2026-08	0%	10