abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
@yogsoth-aiInstall SkillAutomation
Skill
/cross-examine
Probe responses for inconsistency, logic gaps, and unsupported claims.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill cross-examine --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill cross-examine -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill cross-examine -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill cross-examine -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill cross-examine -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill cross-examine -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill cross-examine -a windsurf -y
SKILL.md
cross-examine.SKILL.mdname: cross-examine description: "Probe responses for inconsistency, logic gaps, and unsupported claims."
cross-examine
Purpose
Probe responses for inconsistency, logic gaps, and unsupported claims.
Input contract
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
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
Ships withde-anthropocentric-research-engine
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
507200 skills
Stars on GitHub
Momentum
- stars in total
- 507
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Questions about cross-examine.
- Which coding agents can use cross-examine?
- cross-examine installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.