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Multi-agent parallel investigation for complex VCV Rack problems
Passed 12 of 19 test cases with the skill, and 3 of 19 without it.
and 14 more in the full report
10 fixed4 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
I selected option 1 ("Apply solution") from the research report menu. Provide the necessary routing instruction for the orchestrator to proceed.
| Checked | Without skill | With skill |
|---|---|---|
| Includes "Invoke module-improve skill" in the routing directive. | Missed | Passed |
The instructions your model reads when the skill loads.
Investigate a difficult question until the evidence supports a useful conclusion, while keeping uncertainty and source quality visible.
Convert the request into a decision-oriented research question. Identify:
If ambiguity would materially change the research, ask one focused question. Otherwise, state the chosen interpretation.
Parallel investigation is useful only when the subquestions are genuinely independent and the available environment supports it. It is not a requirement.
For consequential claims, consider authority, recency, methodology, incentives, sample quality, and whether independent sources agree. Distinguish:
Do not manufacture precision, citations, quotes, consensus, or access to unavailable material. If evidence conflicts, explain the disagreement and which interpretation is better supported.
test cases passed, vs 3 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.