formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
Systematic extraction, challenge, and sensitivity analysis of assumptions
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-excavation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/assumption-excavationContext preview
The summary Claude sees to decide when to auto-load this skill.
Systematic extraction, challenge, and sensitivity analysis of assumptions
name: assumption-excavation description: Systematic extraction, challenge, and sensitivity analysis of assumptions underlying a decision to identify load-bearing beliefs. execution: tactic dependencies: sops: - conclusion-sensitivity - convergence-assumption-challenge - convergence-assumption-extraction
A three-phase tactic that surfaces hidden assumptions, challenges each one adversarially, and maps which assumptions are load-bearing for the conclusion. Decisions often rest on unstated beliefs — this tactic makes them explicit and tests their strength.
1. **Assumption Extraction** — Systematically surface all assumptions underlying the decision, with confidence levels 2. **Assumption Challenge** — For each assumption, construct the strongest counter-argument and identify alternatives 3. **Conclusion Sensitivity** — Map which assumptions, if wrong, would change the conclusion
| SOP | Phase | Purpose | |-----|-------|---------| | assumption-extraction | Extract | Surface hidden assumptions with confidence | | assumption-challenge | Challenge | Attack each assumption adversarially | | conclusion-sensitivity | Sensitivity | Map load-bearing assumptions |
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Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | conclusion-sensitivity | Map which assumptions are load-bearing by assessing how the conclusion changes if each assumption fails. | | convergence-assumption-challenge | Construct the strongest counter-argument against a specific assumption and propose alternatives. | | convergence-assumption-extraction | Systematically surface hidden assumptions underlying a decision with confidence levels. |
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The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
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