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.

Open-source AI-powered offensive security harness for automated penetration testing.

CyberStrikeus/CyberStrike ↗

CyberStrikeus/CyberStrike AI coding statistics: 39.4%

of 1,935 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
39.4% agent · top contributor 74.4%11 contributors
team

A small group is using agents. Adoption has spread beyond one person but is not project-wide.

762
agent commits
1,173
other considered commits
11
agent contributors
74.4%
largest contributor

What shapes this result

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

Assisted or autonomous

762assisted
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
2026-010%6
2026-024.6%592
2026-0399.1%108
2026-0482%178
2026-0527.9%43
2026-0653.8%130
2026-0735%160
2026-0849.3%698
2026-090%20

Peak month: 99.1%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic76039.3%
Cursor AgentAnysphere20.1%

Inspect the matches

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

Matched commit samples

  • 34943af4 on GitHubfix(hackbrowser): trust the OS certificate store in the crawler workerClaude Code
  • d348942c on GitHubfix(hackbrowser): route GPT-5 Copilot models to the Responses API in the cClaude Code
  • 66ffc026 on GitHubfix(hackbrowser): guard CYBERSTRIKE_VERSION in the worker's Copilot fetch Claude Code
  • d5829c06 on GitHubfeat: add specific system prompt for Trinity model (#12144)Cursor Agent
  • 563a690f on GitHubfeat: add Trinity model system prompt support (#12025)Cursor Agent

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 window2,254
Merge commits removed−71
CI / dependency bots removed−248
Considered1,935

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

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 CyberStrikeus/CyberStrike

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