菜单
Test conclusion robustness via multi-model convergence — enumerate assumptions, generate alternatives, compare results, flag fragile conclusions.
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想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Strategy: Dialectic engine retuned for truth-seeking, not survival. A defender steelmans a claim into its MOST falsifiable form, a critic attacks to refute it, a judge classifies the exchange into BROKEN/CORROBORATED/UNFALSIFIABLE — the judge does NOT pick a winner or score persuasiveness. Methods: Irving debate (repurposed), Toulmin argumentation, Mayo severe testing.
Campaign: Logical extreme and boundary testing via reductio ad absurdum and edge-case analysis. Core question: Does this artifact collapse under logical limits and boundary conditions? Methods: Lakatos 1976, Dutilh Novaes 2016, BVA, Flyvbjerg Critical Case, Popper.
Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.
正在显示 SKILL.md
基于 SOC 职业分类
| name | robustness-testing |
| description | Test conclusion robustness via multi-model convergence — enumerate assumptions, generate alternatives, compare results, flag fragile conclusions. |
| dependencies | {"tactics":["multi-model-convergence"],"sops":["alternative-model-generation","convergence-assessment","deep-insight-assumption-enumeration","fragility-flagging"]} |
Test whether conclusions survive across different modeling choices.
| 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 |
<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>
Import: web-search, web-research, paper-overview, paper-search, paper-research Subagent: assumption-enumeration, alternative-model-generation, convergence-assessment, fragility-flagging
Enumerate modeling assumptions, generate alternative models by relaxing each, compare results across alternatives, flag results that depend on specific assumptions (fragile).
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| multi-model-convergence | Wimsatt-style multi-method cross-validation — enumerate assumptions, generate alternative models, compare results, flag divergences. |
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| alternative-model-generation | Generate alternative model formulations by relaxing, replacing, or generalizing specific assumptions. |
| convergence-assessment | Compare results across multiple model variants — quantitative agreement metrics and qualitative conclusion stability. |
| deep-insight-assumption-enumeration | Systematically identify all assumptions in a method/model — structural, parametric, distributional, and scope assumptions. |
| fragility-flagging | Identify which specific assumption changes cause conclusion divergence. Rates fragility severity and plausibility of alternatives. |