parameter-screening
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/parameter-screeningQuickly identify important vs unimportant parameters.
SKILL.md
.github/skills/parameter-screeningView on GitHub ↗
--- 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.