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/classify-simplicity-evidence

Classify simplicity/compression as earned, weak, or decorative based on whether it forbids alternatives, compresses independent facts, or merely renames/repackages them.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence --agent claude-code

SKILL.md

classify-simplicity-evidence.SKILL.md
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-simplicity-evidence

Purpose

Classify explanatory compression as earned, weak, or decorative.

Input contract

required: [explanation, covered_facts, alternatives, predictions]
optional: [evidence]
constraints: [facts and alternatives must be independently listed]

Procedure

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.

Output contract

produces: [simplicity_class, compression_evidence, missing_constraints]
delta_fields: [findings, evidence_updates, uncertainties, decisions]

Quality gates

  • Decorative simplicity is a relabeling with no independent compression or risky prediction.

Failure and counterexamples

Do not classify by description length or elegance alone.

Provenance map

  • resolved: elegance-trap-probe
@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

Stars on GitHub

Momentum

stars in total
507
Star history of yogsoth-ai/de-anthropocentric-research-engine on GitHub, a chart by star-history.com

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Questions about classify-simplicity-evidence.

Which coding agents can use classify-simplicity-evidence?
classify-simplicity-evidence 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.