yogsoth-ai/de-anthropocentric-research-engine

cross-examine

Probe responses for inconsistency, logic gaps, and unsupported claims.

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill cross-examine

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

cross-examine

Purpose

Probe responses for inconsistency, logic gaps, and unsupported claims.

Input contract

yaml
required: [claim, response, questions, evidence]
optional: [criteria, prior_rounds]
constraints: [questions must target explicit claims or assumptions]

Procedure

  1. Identify unsupported or inconsistent assertions.
  2. Ask targeted follow-up questions.
  3. Record answers, unresolved gaps, and evidence requests.

Output contract

yaml
produces: [cross_examination_record, inconsistency_findings, evidence_requests]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • Each question maps to a claim, premise, or inference step.

Failure and counterexamples

Do not treat refusal or verbosity as inconsistency without a claim-level comparison.

Provenance map

  • resolved: cross-examination

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