No. A star count shows how many people bookmarked a repository, not whether anyone is fixing bugs, updating advisory data or answering security reports. Treat stars as a discovery signal, then check release dates, maintainer activity, a security policy and signed releases before you rely on the scanner.
What a star actually is
GitHub describes starring as a way to keep track of projects you find interesting and to show appreciation to the maintainer. It is also an input to rankings: GitHub's own documentation says many repository rankings depend on star counts, and the Explore page surfaces popular repositories by stars.
That is the key point for a buyer. Stars are a popularity mechanism. A project can collect them in a burst after a conference talk or a news cycle and then go quiet for a year. The number never goes down when a maintainer leaves.
Why stars mislead for security tooling
A scanner has a second job that most libraries do not: its data must stay current. A scanner with 30,000 stars and no release in eight months can still run, but it may be matching against old rules or an old database snapshot. You will not see that in the star count.
Stars also say nothing about the people who star. A developer who starred a project once for a side project is not an operator who ran it against 400 repositories.
Signals that carry more weight
Use stars to build a shortlist, then score each candidate on signals that describe upkeep.
| Signal | Where to look | What it tells you |
|---|---|---|
| Recent releases | Releases page | Whether fixes actually ship to users |
| Maintainer activity | Commit and issue history | Whether more than one person is active |
| Security policy | SECURITY.md, Security tab | Whether you can report a flaw privately |
| Signed releases | Release assets | Whether you can verify what you download |
| Open scanner bugs | Issue tracker | Whether wrong results get triaged |
The OpenSSF Scorecard documentation defines a Maintained check as at least one commit per week over the previous 90 days for the top score, with archived projects scoring lowest. It also notes that a lack of maintenance is not always a problem, since small utility code may need none. A scanner is not small utility code. Its inputs change every day, so inactivity matters more.
A five minute shortlist routine
- Write down the star count for each candidate, then ignore it.
- Open the Releases page and note the date of the last three releases.
- Open the issue tracker and sort by recently updated. Look for maintainer replies.
- Look for a security policy and whether private vulnerability reporting is on.
- Check whether release assets include signatures or provenance files.
If a candidate fails two of these, it needs a closer look before you put it in a pipeline.
What stars can still tell you
Stars are not useless. A large number suggests many people have tried the project, which means common problems have probably been hit and reported. It also suggests a larger pool of examples, blog posts and answers when you get stuck. Just do not convert that into a claim about security quality or upkeep.
If you later outgrow a free scanner, the signals above also tell you how urgent the move is. A healthy project can stay in your stack for years. One that has gone quiet needs a replacement plan. Safeguard's free scan at https://gold.safeguard.sh/scan gives you a second opinion on the same repository, and its SBOM and dependency scanning can sit beside whatever you run today.
Quick check
Is a project with few stars unsafe to use?
No. Few stars means little attention, not poor quality. Judge it on release cadence, security policy and how issues are handled.
Can stars be inflated?
Stars are cheap to give, so treat a sudden jump with caution and look at who is contributing instead.
Sources
- GitHub Docs, Saving repositories with stars
- OpenSSF Scorecard, Checks documentation
Last reviewed: 19 October 2026.
