Atlas / Skills / nwave-ai / Nw Five Whys Methodology

Nw Five Whys MethodologySAFE

skills/nwave-ai/nw-five-whys-methodology

AI agents that guide you from idea to working code, with you in control at every step.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
617
01

Overview

AI agents that guide you from idea to working code, with you in control at every step.

Read from source at commit 1a864ec81cdeOBSERVED · 2026-10-14
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: nw-five-whys-methodology
description: Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
user-invocable: false
disable-model-invocation: true
---

# Five Whys Methodology

## Philosophical Foundation

Taiichi Ohno: "By repeating why five times, the nature of the problem as well as its solution becomes clear."

Core tenets: scientific evidence-based investigation | address fundamental causes not symptoms | solve to prevent recurrence | use findings for Kaizen

## Multi-Causal Investigation

Complex problems have multiple root causes. Investigate comprehensively:
- **Parallel**: investigate all symptoms/conditions simultaneously
- **Branch**: follow each cause through all five WHY levels
- **Cross-cause**: ensure multiple causes don't contradict
- **Comprehensive**: address all root causes, not just primary

## WHY Level Definitions

### WHY 1: Symptom Investigation
What is immediately observable? Investigate all symptoms. Each branch continues independently. Document verifiable evidence per symptom.

```
WHY 1A: Path not found [Evidence: file exists but wrong context -- Windows vs WSL paths]
WHY 1B: Permission denied [Evidence: user context mismatch between host and container]
WHY 1C: Timing issues [Evidence: race conditions with file system operations]
```

### WHY 2: Context Analysis
Why does this condition exist? Follow each WHY 1 through context. Check if factors connect multiple causes. Examine system/environment/operational context.

### WHY 3: System Analysis
Why do conditions persist? How system enables multiple failure modes. How causes interact systemically. Analyze design/architecture decisions.

### WHY 4: Design Analysis
Why not anticipated? Review design assumptions. Identify all design blind spots. Trace decisions to original context.

### WHY 5: Root Cause Identification
Fundamental causes. Multiple root causes expected for complex issues. Ensure all contributing causes identified. Focus on deepest level.

## Validation and Verification

### Evidence Requirements
Each WHY level must have verifiable evidence for all causes. Root causes must explain all symptoms collectively. Solutions must address all root causes.

### Backwards Chain Validation
1. Trace each root cause forward to symptom | 2. "If this exists, would it produce this symptom?" = must be yes
3. Cross-validate: multiple roots must not contradict | 4. Completeness: "Missing contributing factors?" at each level

### Solution Completeness
Every root cause -> corresponding solution | Prevent recurrence, not just mitigate | Use findings for system improvement

## Branch Documentation Format

```
PROBLEM: [clear problem statement]

WHY 1A: [symptom] [Evidence: ...]
  WHY 2A: [context] [Evidence: ...]
    WHY 3A: [system factor] [Evidence: ...]
      WHY 4A: [design factor] [Evidence: ...]
        WHY 5A: [root cause] [Evidence: ...]
        -> ROOT CAUSE A: [fundamental cause]
        -> SOLUTION A: [prevention strategy]

WHY 1B: [symptom] [Evidence: ...]
  WHY 2B: [context] [Evidence: ...]
    ...

CROSS-VALIDATION:
- Root Cause A + Root Cause B: [consistent/contradictory]
- All symptoms explained: [yes/no, gaps if any]
```
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 1a864ec81cdefull audit observations/trust-audit/skill/nwave-ai__nw-five-whys-methodology.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-141a864ec81cdeSAFEB89first audit
05

Questions

What does the Nw Five Whys Methodology skill do?

AI agents that guide you from idea to working code, with you in control at every step.

Is Nw Five Whys Methodology safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Nw Five Whys Methodology access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (1a864ec81cde), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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