abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Classify simplicity/compression as earned, weak, or decorative based on whether it forbids alternatives, compresses independent facts, or merely renames/repackages them.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence -a windsurf -y
name: classify-simplicity-evidence description: "Classify simplicity/compression as earned, weak, or decorative based on whether it forbids alternatives, compresses independent facts, or merely renames/repackages them."
Classify explanatory compression as earned, weak, or decorative.
required: [explanation, covered_facts, alternatives, predictions] optional: [evidence] constraints: [facts and alternatives must be independently listed]
1. Check whether independent facts are compressed. 2. Check whether alternatives are forbidden and predictions constrained. 3. Classify earned, weak, or decorative and preserve rationale.
If simplicity provides discriminating support only through a vulnerable consequence, consider `test-risky-prediction` as the next tactic.
produces: [simplicity_class, compression_evidence, missing_constraints] delta_fields: [findings, evidence_updates, uncertainties, decisions]
Do not classify by description length or elegance alone.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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