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Feast — open-source feature store. Online and offline serving, point-in-time joins, feature validation, and streaming ingestion. Standardizes feature management across training and production.
Passed 11 of 22 test cases with the skill, and 11 of 22 without it.
1 fixed17 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
What parameter name is used in Feast's Entity constructor to define the entity's identifier string?
| Checked | Without skill | With skill |
|---|---|---|
| Uses name parameter set to driver_id | Missed | Passed |
The instructions your model reads when the skill loads.
Feast is an open-source feature store for production ML, providing offline (batch training data via SQL queries) and online (low-latency serving via Redis, Firestore, or DynamoDB) feature retrieval with point-in-time correctness. Features are versioned, validated, and governed through a registry.
uv pip install feast
from feast import Entity, FeatureView, FileSource, ValueType
from datetime import timedelta
driver = Entity(name="driver_id", value_type=ValueType.INT64, description="Driver identifier")
source = FileSource(path="data/driver_stats.parquet", timestamp_field="event_timestamp")
feature_view = FeatureView(
name="driver_hourly_stats",
entities=[driver],
ttl=timedelta(hours=2),
source=source,
)
feast apply # register in registry
feast serve # online serving at localhost:6566
test cases passed, vs 11 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.