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Locate UI elements using natural language
Passed 22 of 22 test cases with the skill, and 8 of 22 without it.
and 16 more in the full report
14 fixed8 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
What value should be assigned to the type parameter if you want TestDriver to use the raw description prompt without prepending visual or text hints?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies type: 'any' for un-wrapped prompts. | Missed | Passed |
The instructions your model reads when the skill loads.
Find UI elements on the screen with natural language descriptions and AI. This returns an Element object. You can interact with the object.
const element = await testdriver.find(description)
const element = await testdriver.find(description, options)
<ParamField path="cacheThreshold" type="number" default={0.05}>
The similarity threshold (0-1) for a cache match. A lower value needs more similarity. Set it to -1 to disable the cache.
</ParamField>
<ParamField path="timeout" type="number" default={10000}>
The maximum time in milliseconds to poll for the element. TestDriver tries again each 5 seconds until it finds the element or the timeout ends. The default is `10000` (10 seconds). Set it to `0` to disable the poll and try one time.
</ParamField>
<ParamField path="confidence" type="number">
The minimum confidence threshold (0-1). If the confidence score of the found element is less than this value, the find is a failure (`element.found()` returns `false`). Use this to make sure of good matches in critical test steps.
</ParamField>
<ParamField path="type" type="string">
test cases passed, vs 8 / 22 without
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