When I came across a study that traced 4.5 million fake GitHub stars, it confirmed a suspicion I’d had for a while: stars are noisy. The issue is they’re visible, they’re persuasive, and they still shape hiring decisions, VC term sheets, and dependency choices—but they say very little about actual quality.
I wrote StarGuard to put that number in perspective based on my own methodology inspired with what they did and to fold a broader supply-chain check into one command-line run.
It starts with the simplest raw input: every starred_at timestamp GitHub will give. It applies a median-absolute-deviation test to locate sudden bursts. For each spike, StarGuard pulls a random sample of the accounts behind it and asks: how old is the user? Any followers? Any contribution history? Still using the default avatar? From that, it computes a Fake Star Index, between 0 (organic) and 1 (fully synthetic).
But inflated stars are just one issue. In parallel, StarGuard parses dependency manifests or SBOMs and flags common risk signs: unpinned versions, direct Git URLs, lookalike package names. It also scans licences—AGPL sneaking into a repo claiming MIT, or other inconsistencies that can turn into compliance headaches.
It checks contributor patterns too. If 90% of commits come from one person who hasn’t pushed in months, that’s flagged. It skims for obvious code red flags: eval calls, minified blobs, sketchy install scripts—because sometimes the problem is hiding in plain sight.
All of this feeds into a weighted scoring model. The final Trust Score (0–100) reflects repo health at a glance, with direct penalties for fake-star behaviour, so a pretty README badge can’t hide inorganic hype.
I added for the fun of it it generating a cool little badge for the trust score lol.
Under the hood, its all uses, heuristics, and a lot of GitHub API paging. Run it on any public repo with:
python starguard.py owner/repo --format markdown It works without a token, but you’ll hit rate limits sooner.
Please provide any feedback you can.
Comments URL: https://news.ycombinator.com/item?id=43962427
Points: 29
# Comments: 6
Autentifică-te pentru a adăuga comentarii
Alte posturi din acest grup

Hey HN, we're Lennert and Rauf. We’re building Airweave (https://github.com/airweave-ai/airweave), an open-source tool that lets agents search

Article URL: https://www.bbc.com/news/articles/cj3j5gxgz0do

Article URL: https://arxiv.org/abs/2412.09871
Comments URL: https://news.ycombinator.c

Article URL: https://www.workatastartup.com/jobs/75011
Comments URL: https://
Article URL: https://phys.org/news/2025-05-universe-decay-years-sooner-previously.html
Comments URL: