Two weeks ago I audited the claims in this blog's agent instructions one by one

against the code. The one that mattered most in that audit was deploy duration :

the docs said "about 12 minutes" in five separate places, and measuring twenty-four

runs gave a median of 3.3 minutes. That was one workflow. This morning the question

was wider: how much machine time do all of the repository's workflows consume?

Measuring looked easy. The GitHub Actions API gives timestamps for every run;

subtract created_at from updated_at and you have the duration. One line of

Python, one coffee. I pulled the last thousand runs, summed the differences, and the

screen told me: 58,530 hours . Six and a half years. Across fifteen days.

The number was so absurd that it saved me. I wish every bad measurement were wrong

that loudly; most of them look plausible, settle into a dashboard and quietly bend

decisions.…