AI & Agents
CUA-S1 – A System One Model for Computer Use
Source: trycua/cua
Last updated 2026-09-19 · benchmark measured 2026-09-19 — deterministic & reproducible
CUA-S1 is an open-source system-one model designed for computer use automation.
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To cite this score: legit.show/s/gh-trycua-cua/2026-09-19. That address never changes; this page moves with every re-measure.
Legit.Show scored CUA-S1 – A System One Model for Computer Use 100/100 on 2026-09-19, measured across 4 of 7 frames from its public surface. legit.show/s/gh-trycua-cua/2026-09-19
Is CUA-S1 – A System One Model for Computer Use production-ready?
Legit.Show scores CUA-S1 – A System One Model for Computer Use 100 out of 100 — the simple average of its 3 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on CUA-S1 – A System One Model for Computer Use (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 — 100/100How this compares across the catalogue: The Web Security Baseline
- 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 built it
product account @trycua
Who it's for
AI developers · ML researchers · DevOps teams · Open source contributors
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