Assumption Stress Test
SkillSecuritySystematic stress testing of assumptions — surface, classify by vulnerability,
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Assumption Stress Test skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/assumption-stress-test/SKILL.md and read by ahel’s review.
Systematically stress-test assumptions to find dangerous ones.
Operations
- assumption-surfacing (shared) — extract all implicit assumptions
- abp-vulnerability-classification — classify by load-bearing × vulnerable
- clr-validation — validate causal logic of critical assumptions
Available SOPs
Shared: assumption-surfacing Subagent: abp-vulnerability-classification, clr-validation Import: paper-research
Execution Guidance
Surface all assumptions (shared SOP). Classify each by load-bearing × vulnerable matrix. Validate causal logic of most critical assumptions (High-Load × High-Vulnerable quadrant).
Minimum Yield
<HARD-GATE>
- assumptions surfaced: >= 5
- vulnerability classifications: >= 5
- CLR validations on critical assumptions: >= 2
- dangerous assumptions identified: >= 1
</HARD-GATE>
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| abp-vulnerability-classification | Classify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant. |
| clr-validation | Apply Goldratt's 8 Categories of Legitimate Reservation to validate causal claims. Tests clarity, existence, sufficiency, and logical integrity. |
| deep-insight-assumption-surfacing | Systematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification. |
| deep-insight-paper-research | Full-text paper reading via three-pass Keshav method. Import of literature-engine/literature-research skill. Authoritative source for claims about paper content. |
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
assumption-stress-test- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine