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121 points artski | 2 comments | | HN request time: 0s | source

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.

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Am4TIfIsER0ppos ◴[] No.43964230[source]
What is a license trap? This "AGPL sneaking into a repo claiming MIT"? Isn't that just a plain old license violation?
replies(2): >>43964614 #>>43965719 #
1. artski ◴[] No.43964614[source]
Basically what I mean by it is for example a repository appears to be under a permissive license like MIT, Apache, or BSD, but actually includes code that’s governed by a much stricter or viral license—like GPL or AGPL—often buried in a subdirectory, dependency, or embedded snippet. The problem is, if you reuse or build on that code assuming it’s fully permissive, you could end up violating the terms of the stricter license without realising it. It’s a trap because the original authors might have mixed incompatible licenses, knowingly or not, and the legal risk then falls on downstream users. So yeah essentially a plain old license violation which are relatively easy to miss or not think about
replies(1): >>43965708 #
2. tough ◴[] No.43965708[source]
oh interesting you put a word on it, most of the VC funded FOSS -open- core apps/saas that have pop up the past years are like this

the /ee folders are a disgrace