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Screen equities, ETFs, and bonds using fundamental, technical, and quantitative criteria with multi-factor ranking and sector filtering.
Passed 11 of 22 test cases with the skill, and 9 of 22 without it.
and 5 more in the full report
7 fixed7 passed either way3 still failing5 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to identify high-growth US tech stocks. Instead of just searching for popular megacap names like Apple or Nvidia, filter US equities for revenue growth above 20% and P/E ratio below 30, then rank the top matches by a combined growth-valuation score with key fundamental metrics and sector labels.
| Checked | Without skill | With skill |
|---|---|---|
| Includes explicit column header Composite Score in the output table. | Missed | Passed |
| Excludes Apple (AAPL) from the candidate matches. | Passed | Passed |
| Sorts output table rows in descending order by combined growth-valuation score. | Passed | Passed |
The instructions your model reads when the skill loads.
Screen equities, ETFs, and bonds using fundamental, technical, and quantitative criteria with multi-factor ranking and sector filtering.
| Name | Type | Required | Description |
|---|---|---|---|
| assetClass | select | Yes | Asset class to screen |
| criteria | string | Yes | Screening criteria (e.g., P/E < 15, ROE > 20%, dividend yield > 3%) |
| question | string | Yes | Your specific screening question |
| market | select | Yes | Market region to screen |
| maxResults | select | Yes | Maximum number of results to return |
test cases passed, vs 9 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.