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Automation
Skill

/drill-five-whys

Iteratively ask why, evidence-checking each causal step, to move from symptom toward root cause.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill drill-five-whys --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/drill-five-whys

Context preview

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

Iteratively ask why, evidence-checking each causal step, to move from symptom toward root cause.

SKILL.md

drill-five-whys.SKILL.md
name: drill-five-whys
description: "Iteratively ask why, evidence-checking each causal step, to move from symptom toward root cause."

drill-five-whys

Purpose

Iteratively ask why, checking evidence at each causal step, to move from symptom toward root cause.

Input contract

required: [symptom_statement, causal_evidence]
optional: [initial_cause, max_depth]
constraints: [each why answer must explain the preceding statement and cite evidence or uncertainty]

Procedure

1. Normalize the symptom as an observable effect. 2. Ask why the effect occurs and record the proposed cause. 3. Test the cause against evidence before asking the next why. 4. Stop at a controllable root, an evidence boundary, or a documented unresolved branch.

Output contract

produces: [why_chain, root_cause_candidate, evidence_gaps]
delta_fields: [findings, assumption_updates, uncertainties]

Quality gates

  • Each link is directional and evidence-checked; stopping reason is explicit.

Failure and counterexamples

Do not force exactly five levels or accept circular answers as root causes.

Provenance map

  • `deep-insight/five-whys-drilling`: resolved.
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.

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Python
Language
Apache-2.0
License
8h ago
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7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine