Developer Tools

MaruCheck – Independent QA for AI-generated code

Source: github.com/Kidus-M/MaruCheck

Last updated 2026-09-10 · benchmark measured 2026-09-10 — deterministic & reproducible

MaruCheck provides independent QA review for AI-generated code.

Is MaruCheck – Independent QA for AI-generated code production-ready?

Legit.Show scores MaruCheck – Independent QA for AI-generated code 100 out of 100 — the simple average of its 3 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on MaruCheck – Independent QA for AI-generated code (github assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Security; 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

• Performance — not measurable on this service (null — not scored as 0)
• Accessibility — not measurable on this service (null — not scored as 0)
• Security — 100/100
• Privacy — not measurable on this service (null — not scored as 0)
• Reliability — not measurable on this service (null — not scored as 0)
• Standards — 100/100
• Discoverability — 100/100

Open-source teardown

Scored separately — not one of the seven.

• Maintenance — 100/100

What we measured

• No Content-Security-Policy and no HSTS.
• No privacy policy found.
• Sets cookies / loads scripts with no consent prompt.

Who it's for

AI code generation teams · QA engineers · Development teams · AI agent users · Code reviewers

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