B

GitHub Trending

blader/humanizer

Agent skill that removes signs of AI-generated writing from text

PythonsteadyLive GitHub sample
View JSON View on GitHub

Current momentum

49capped sample

Stars

58.3K

+1.3K since sync

Commits

4

in period

Active contributors

1

+-57%

Issues closed

0

463.7h avg. resolution

Recorded trajectory

Movement you can verify over time.

Loading daily momentum history.

Behind the number

A score you can inspect.

Each signal contributes points to the total. These are capped GitHub samples, not complete activity counts or proof of adoption.

Development activity30.7 / 40 pts

4 commits · 3 opened PRs · 0 closed issues in 7 days

24 + 22 × ln(1 + weekly weighted activity). Activity = commits + 2 × opened PRs + closed issues. Signal bounded to 0–100, then weighted 40%.

Contributor breadth8.2 / 25 pts

1 sampled contributors in 7 days · -57% contributor-growth input

24 + 25 × ln(1 + contributors × √(7 / days)) + 0.15 × growth. Growth uses the 30-day windows; capped samples use a neutral 0 input. Signal bounded to 0–100, then weighted 25%.

Issue resolution5.1 / 20 pts

463.7 hours resolution input

105 − 9 × log₂(1 + hours). Uses sampled closed issues, not first-response time. With no resolved issues, the model uses 168 hours. Signal bounded to 0–100, then weighted 20%.

Release cadence5.3 / 15 pts

14 days cadence input

105 − 5 × cadence days. With fewer than two published releases, the model uses time since the last push as a proxy. Signal bounded to 0–100, then weighted 15%.

Weighted total · rounded once49 / 100

What changed in the recorded sample?

Loading recorded observations…

4.6K forks

Downstream adoption

6 open issues

Community demand

14 day cadence

Shipping consistency