A command-line tool to get valuable information out of AWS CloudTrail
A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in trailscraper's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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Merge pull request #941 from flosell/dependabot/github_actions/github/codeql-action/analyze-4.38.2
Merge pull request #943 from flosell/dependabot/uv/werkzeug-3.1.9
Merge pull request #940 from flosell/dependabot/github_actions/github/codeql-action/autobuild-4.38.2
Merge pull request #939 from flosell/dependabot/pip/pytz-2026.4
Merge pull request #938 from flosell/dependabot/pip/boto3-1.43.104
Merge pull request #937 from flosell/dependabot/pip/pylint-4.0.9
Merge pull request #936 from flosell/dependabot/uv/urllib3-2.8.0
Merge pull request #931 from flosell/dependabot/github_actions/github/codeql-action/init-4.38.0
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.