Quick Morris method screening to identify which parameters have large effects and which can be safely ignored.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: parameter-screening
description: Quick Morris method screening to identify which parameters have large effects and which can be safely ignored.
used-by: sensitivity-analysis
---
# Parameter Screening
Quickly identify important vs unimportant parameters.
## Budget
| Base SOP | Target | ±10% Range |
|----------|--------|------------|
| web-search | 20 | 18–22 |
| web-research | 5 | 4–6 |
| paper-overview | 30 | 27–33 |
| paper-search | 20 | 18–22 |
| paper-research | 10 | 9–11 |
## State Ledger
```
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 20 | ? |
| web-research | ? | 5 | ? |
| paper-overview | ? | 30 | ? |
| paper-search | ? | 20 | ? |
| paper-research | ? | 10 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
```
## Available Tactics
- screening-then-decomposition
## Available SOPs
**Import:** web-search, web-research, paper-overview, paper-search, paper-research
**Subagent:** morris-screening
## Execution Guidance
Use Morris method (one-at-a-time with random trajectories) to quickly identify which parameters have large effects (high mu*) and which have nonlinear/interaction effects (high sigma). Eliminate clearly unimportant parameters.
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