abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjudicate-exchange --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjudicate-exchange -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjudicate-exchange -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjudicate-exchange -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjudicate-exchange -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjudicate-exchange -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjudicate-exchange -a windsurf -y
name: adjudicate-exchange description: "Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty."
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
required: [arguments, critique_set, adjudication_criteria] optional: [evidence_records, burden_of_proof, verdict_vocabulary] constraints: [each argument and critique receives an explicit disposition]
1. Normalize claims, warrants, evidence, and objections. 2. Map each objection to the argument component it tests. 3. Weigh support and weaknesses against the supplied criteria. 4. Emit ACCEPT, REJECT, or REVISE with conditions and uncertainty.
produces: [verdict, argument_dispositions, conditions, uncertainty_statement] delta_fields: [decisions, findings, uncertainties]
Caller supplies argument schema, critique schema, criteria, burden of proof, and verdict vocabulary.
Reject verdicts that omit objections, rely on prior commitment, or collapse uncertainty into confidence.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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