# avinassh/rockstar

Makes you a Rockstar C++ Programmer in 2 minutes

Repository: https://github.com/avinassh/rockstar
Canonical: https://ross.abutalabs.com/products/avinassh-rockstar
Language: Python
License: MIT
License Family: permissive
Last push: 2023-08-21T03:59:48+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4066, "days_push": 1108, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4188, forks 284 (observed 2026-08-28T04:08:38.794492+00:00)

## What it is
A satirical Python library and CLI that generates a git repository full of backdated commits to fill your GitHub contribution graph with green squares. It's a joke project mocking 'learn X in N days' tutorials and contribution-graph vanity.

## Use cases
- fill my github contribution graph with green squares
- generate backdated git commits automatically
- prank a friend's github profile
- create a repo with a year of fake commit history
- make my github profile look active

## When to choose
- you want a humorous gag repo or to joke about contribution-graph vanity
- you need a quick script that fabricates backdated git commit history

## When to avoid
- you want genuine open-source contributions or real learning tools
- misrepresenting activity to recruiters is unacceptable in your context
- you need a maintained production tool

## Facets
- artifact type: library
- maturity: maintenance
- function: developer-tools, version-control, data-generation
- domain: developer-tools, version-control
- platform: python, cli, cross-platform
- tags: github-contribution-graph, fake-commits, joke-project, git, profile-greening, automation

## Member repositories
- avinassh/rockstar (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:38.794492+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:22:36.722963+00:00, confidence not recorded.
  - readme: https://github.com/avinassh/rockstar (fetched 2026-08-28T04:08:38.794492+00:00, sha b8931e56b186)
  - registry_pypi: https://pypi.org/pypi/rockstar/json (fetched 2026-08-29T09:13:00.776798+00:00, sha aa0de65138b4)
- Data as of 2026-08-30T08:39:29.467469+00:00.