Creating Online Evaluations
by PostHog469d1773e9cbNo licenseListed Oct 8, 2026Updated Oct 8, 2026
Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified. Use when the user wants evaluations that automatically score new generations or whole traces going forward — "create an eval to catch X", "continuously check that responses do Y", "turn these failures into evals". Covers letting the explored data decide how many evals to create, proposing that set for the user to pick, choosing the target and eval type (hog / llm_judge / sentiment), configuring a provider and model for an llm_judge eval (a provider key gates enabling, not creation), scoping which generations trigger it via conditions, creating disabled, verifying scope, and enabling. Proposes a sentiment eval when no failure mode is worth catching. Finding and ranking the failure modes worth evaluating is its own job — use exploring-ai-failures first. To debug or manage evaluations that already exist, use exploring-llm-evaluations.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/evaluation-payload.md | 11.5 KB | text/markdown |
| SKILL.md | 23.9 KB | text/markdown |
Source and attribution
Source:PostHog/ai-plugininskills/creating-online-evaluationsat commit469d177
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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