Test conclusion robustness via multi-model convergence — enumerate assumptions, generate alternatives, compare results, flag fragile conclusions.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: robustness-testing
description: Test conclusion robustness via multi-model convergence — enumerate assumptions, generate alternatives, compare results, flag fragile conclusions.
used-by: boundary-analysis
---
# Robustness Testing
Test whether conclusions survive across different modeling choices.
## Budget
| Base SOP | Target | ±10% Range |
|----------|--------|------------|
| web-search | 20 | 18–22 |
| web-research | 10 | 9–11 |
| paper-overview | 30 | 27–33 |
| paper-search | 25 | 22–28 |
| paper-research | 15 | 13–17 |
## State Ledger
```
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 20 | ? |
| web-research | ? | 10 | ? |
| paper-overview | ? | 30 | ? |
| paper-search | ? | 25 | ? |
| paper-research | ? | 15 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
```
## Available Tactics
- multi-model-convergence
## Available SOPs
**Import:** web-search, web-research, paper-overview, paper-search, paper-research
**Subagent:** assumption-enumeration, alternative-model-generation, convergence-assessment, fragility-flagging
## Execution Guidance
Enumerate modeling assumptions, generate alternative models by relaxing each, compare results across alternatives, flag results that depend on specific assumptions (fragile).
No comments yet. Be the first to comment!