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Developer Tools

AiSniff

Source: github.com/Arthur031221/AiSniff

Last updated 2026-10-24 · benchmark measured 2026-10-24 — deterministic & reproducible

AiSniff is an open-source project hosted on GitHub by Arthur031221.

85/100
3/7 frames
Legit Benchmark — the simple average of 3 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-10-24 · scores move as sites change

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To cite this score: legit.show/s/gh-aisniff/2026-10-24. That address never changes; this page moves with every re-measure.

Legit.Show scored AiSniff 85/100 on 2026-10-24, measured across 3 of 7 frames from its public surface. legit.show/s/gh-aisniff/2026-10-24

Is AiSniff production-ready?

Legit.Show scores AiSniff 85 out of 100 — the simple average of its 3 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on AiSniff (github assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Standards; its weakest is Discoverability. 3 of the seven frames returned a score; Performance, Accessibility, Privacy and Reliability were not measurable on this service and are recorded as null — not as zero. Maintenance is an additional frame from the open-source teardown, scored separately from the seven. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

Open-source teardown

Scored separately — not one of the seven.

What we measured

Who it's for

Content creators · Writers · Educators · AI safety researchers · Quality assurance teams

Sources and updates

Description
Taken from github.com's own website on 2026-10-24.
Benchmark
Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-10-24.

Put together from public information, without AiSniff's involvement. If anything here is wrong, tell us and a person will check it.

Visit AiSniff → · Alternatives to AiSniff → · How this was measured →

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