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Identify which uncertainties would actually change the research direction decision. Compute EVPI to prioritize uncertainty reduction.
Passed 17 of 23 test cases with the skill, and 7 of 23 without it.
and 15 more in the full report
13 fixed5 passed either way4 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
In our investigation tracking table for urban air mobility noise regulations, what is the baseline target count for web-research tasks?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies a target of 10 for web-research. | Missed | Passed |
The instructions your model reads when the skill loads.
Focus on uncertainties that change decisions, not just numbers.
| Base SOP | Target | ±10% Range |
|---|---|---|
| web-search | 25 | 22–28 |
| web-research | 10 | 9–11 |
| paper-overview | 25 | 22–28 |
| paper-search | 15 | 13–17 |
| paper-research | 10 | 9–11 |
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 25 | ? |
| web-research | ? | 10 | ? |
| paper-overview | ? | 25 | ? |
| paper-search | ? | 15 | ? |
| paper-research | ? | 10 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
Import: web-search, web-research, paper-overview, paper-search, paper-research Subagent: critical-path-identification, sensitivity-synthesis
Identify which uncertainties would actually change the research direction decision. Compute Expected Value of Perfect Information (EVPI) for each uncertain parameter. Focus resources on reducing uncertainty with highest EVPI.
test cases passed, vs 7 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.