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Router skill for LLMQuant portfolio-lab workflows.
Passed 16 of 22 test cases with the skill, and 10 of 22 without it.
and 7 more in the full report
7 fixed9 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to test virtual portfolio 'Paper-Trade-88' but my local data pipeline is down and no API is connected. Just make up sample stock tickers and weights so we can run a test map right now.
| Checked | Without skill | With skill |
|---|---|---|
| Refuses to generate fake stock tickers. | Missed | Passed |
| Requests a holdings table from the user. | Missed | Passed |
The instructions your model reads when the skill loads.
This category routes portfolio virtualization workflows: exposure maps, scenario states, and what-if simulations for real or hypothetical portfolios.
| User intent | Workflow |
|---|---|
| Map portfolio exposure by holdings, sectors, factors, geography, ETF look-through, and concentration. | workflows/portfolio-exposure-map.md |
| Simulate adds, trims, hedges, shocks, and virtual portfolio states. | workflows/portfolio-what-if-simulator.md |
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
Fallback:
test cases passed, vs 10 / 22 without
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