agent-eval: CI for LLM agents — change the prompt, swap the model, edit a tool, refactor the loop: replay the eval suite and let statistics decide if anything got worse. OTel tracing, calibrated LLM-as-judge,adversarial simulated users, and a GitHub Actions gate that blocks significant re...
Pillar = mean of 4 scaled values = 12.7.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs
[](https://agenttape.com/agents/agent-eval)
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