abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Surface load-bearing assumptions, classify vulnerability, challenge or perturb them, and re-check causal logic.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-stress-test --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-stress-test -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-stress-test -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-stress-test -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-stress-test -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-stress-test -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-stress-test -a windsurf -y
name: assumption-stress-test description: "Surface load-bearing assumptions, classify vulnerability, challenge or perturb them, and re-check causal logic."
Expose load-bearing assumptions, classify their vulnerability, perturb them, and re-check causal validity.
required: [claim_or_model, assumptions] optional: [evidence, causal_graph, perturbation_bounds] constraints: [each assumption must be traceable to a claim or causal link]
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `surface-assumptions` to surface load-bearing assumptions. 2. You MUST load skill `classify-assumption-vulnerability` to classify their vulnerability. 3. You MUST load skill `challenge-assumption` to challenge each material assumption. 4. You MUST load skill `apply-perturbation` to apply bounded perturbations. 5. You MUST load skill `validate-causal-link` to re-check affected causal links. If the surviving result requires broader model and scaling variants, consider `robustness-analysis` as the next tactic. Deviation: omit perturbation only when the assumption is purely definitional; still record and classify it.
produces: [assumption_register, vulnerability_map, perturbation_results, causal_recheck] delta_fields: [findings, assumption_updates, uncertainties, decisions, open_questions]
Do not call a model robust when an untested high-vulnerability assumption carries the conclusion or when perturbation bounds are unstated.
Append changed assumptions, perturbation deltas, causal failures, and unresolved questions.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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