AI & Agents

agentrulebench

Source: Tommkruix/agentrulebench

Last updated 2026-09-12 · benchmark measured 2026-09-12 — deterministic & reproducible

A GitHub repository for the AgentRuleBench project.

Are you the maker of agentrulebench? Claim this listing. It is free, takes a meta tag, a DNS record or GitHub admin rights, and never changes the score.

Launched something? Add your product, free.

To cite this score: legit.show/s/gh-agentrulebench/2026-09-12. That address never changes; this page moves with every re-measure.

Legit.Show scored agentrulebench 100/100 on 2026-09-12, measured across 4 of 7 frames from its public surface. legit.show/s/gh-agentrulebench/2026-09-12

Is agentrulebench production-ready?

Legit.Show scores agentrulebench 100 out of 100 — the simple average of its 3 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on agentrulebench (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
  How 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 it's for

AI researchers · ML practitioners · Software engineers · Architecture validation teams

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