abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Generate a concrete counterexample candidate that satisfies the target claim's stated scope while violating its conclusion or claimed structural property; record whether exclusion would be principled or ad hoc.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-counterexample --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-counterexample -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-counterexample -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-counterexample -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-counterexample -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-counterexample -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-counterexample -a windsurf -y
name: generate-counterexample description: "Generate a concrete counterexample candidate that satisfies the target claim's stated scope while violating its conclusion or claimed structural property; record whether exclusion would be principled or ad hoc."
Generate a counterexample candidate within the target claim scope and record whether exclusion is principled.
required: [claim, scope, claimed_conclusion] optional: [known_cases, construction_rules] constraints: [candidate must satisfy stated scope before challenging conclusion]
1. Identify the claim's necessary commitments. 2. Construct a candidate satisfying scope but violating conclusion. 3. Test the candidate and classify principled versus ad hoc exclusion.
produces: [counterexample_candidate, scope_check, violation, exclusion_assessment] delta_fields: [findings, evidence_updates, uncertainties, decisions]
An out-of-scope case is not a counterexample; record it separately.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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