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Use after creating or modifying ANY Honeydew object (metric, attribute, entity, domain). Provides type-specific validation logic to ensure objects work correctly and return sensible results.
Passed 11 of 19 test cases with the skill, and 9 of 19 without it.
3 fixed10 passed either way9 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are validating a multi-entity attribute `line_items.product_category` in Honeydew that references the `products` entity. What pre-check must occur prior to querying the attribute values?
| Checked | Without skill | With skill |
|---|---|---|
| Calls get_entity on the source entity to confirm the target relationship exists before querying. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill is MANDATORY after creating or modifying any Honeydew object.
Validation ensures:
Step 1: Execute the metric
Call get_data_from_fields with:
metrics: ["<entity>.<metric_name>"]If the tool call fails (API error, permission denied, timeout), report the error to the user before proceeding. Do not confuse a tool error with suspicious data.
Step 2: Sanity checks
| Check | What to Look For | Action if Failed |
|---|---|---|
| Returns data | Not NULL, not empty | Check SQL syntax, entity references |
| Magnitude | Reasonable for business context | Verify calculation logic |
| Sign | Positive for revenue/counts (usually) | Check for inverted logic |
| Related metrics | Parts sum to whole | Query related metrics together and verify consistency |
| Ratios | Between 0-100% (usually) | Check numerator and denominator metrics independently |
Step 3: Cross-validation
If the new metric is a filtered subset of an existing metric, or a ratio of existing metrics, query them together to verify consistency:
test cases passed, vs 9 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.