Skip to content
Automation
Skill

/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
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/classify-simplicity-evidence

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

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
Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

Get the whole plugin