abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Classify a tested claim as BROKEN, CORROBORATED, or UNFALSIFIABLE based on whether a legitimate falsifier succeeded, failed under adequate power, or cannot be specified/reached.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-falsification-verdict --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-falsification-verdict -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-falsification-verdict -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-falsification-verdict -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-falsification-verdict -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-falsification-verdict -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-falsification-verdict -a windsurf -y
name: classify-falsification-verdict description: "Classify a tested claim as BROKEN, CORROBORATED, or UNFALSIFIABLE based on whether a legitimate falsifier succeeded, failed under adequate power, or cannot be specified/reached."
Classify a tested claim as BROKEN, CORROBORATED, or UNFALSIFIABLE.
required: [claim, falsifier, test_result, adequacy_assessment] optional: [scope, power_or_precision] constraints: [falsifier must be legitimate and within scope]
1. Check the falsifier and scope. 2. Assess whether the test was adequate. 3. Return exactly one permitted verdict with rationale.
produces: [falsification_verdict, verdict_rationale, adequacy_assessment] delta_fields: [findings, evidence_updates, uncertainties, decisions]
Do not treat an underpowered or unreachable test as corroboration.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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