本文へ移動
cccskills
無料GitHub で公開

nw-tr-review-criteria

Review dimensions and scoring for root cause analysis quality assessment

インストール方法を見る

含まれるファイル(1)

  • SKILL.md3.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Troubleshooter Review Criteria

Review dimensions and scoring for root cause analysis quality assessment.

Dimension 1: Causality Logic

Check each WHY-to-WHY link.

Pass: logical mechanism (not just correlation) | no skipped steps | alternatives considered/eliminated | chain reads coherently both directions

Failures: correlation assumed as causation | causal chain gaps | single-path tunnel vision (first plausible cause accepted)

Severity: Critical -- wrong root cause = ineffective fixes.

Dimension 2: Evidence Quality

Verify findings grounded in observable data.

Pass: each WHY cites specific evidence (logs, metrics, config, repro steps) | evidence verifiable by third party | timeline supports causality | hypotheses marked unverified

Failures: "Probably because..." without data | vague references ("logs show issues") | mixing facts with speculation unlabeled

Severity: High -- unreliable analysis undermines trust.

Dimension 3: Alternative Hypotheses

Verify competing explanations explored.

Pass: 2+ alternatives at WHY 1-3 | each pursued or eliminated with evidence | "why not" reasoning documented

Failures: stops at first plausible cause | alternatives mentioned but unevaluated | confirmation bias

Severity: High -- may miss actual root cause.

Dimension 4: Five-WHY Depth

Verify analysis reaches fundamental causes.

Pass: each branch reaches WHY 5 (or justifies stopping with evidence) | final causes are actionable | causes explain symptoms when traced forward

Failures: stopping at WHY 2-3 | WHY 5 vague/philosophical not actionable | branches abandoned

Severity: High -- shallow analysis = band-aid fixes that recur.

Dimension 5: Completeness and Coverage

Verify all symptoms accounted for.

Pass: all symptoms have causal branch | root causes collectively explain all | no orphan symptoms | cross-cause validation (no contradictions)

Failures: symptoms ignored | root causes explain primary but not secondary | contradictory causes without reconciliation

Severity: Medium -- incomplete analysis leaves unaddressed failures.

Dimension 6: Solution Traceability

Verify solutions map to root causes.

Pass: every root cause has solution | immediate mitigations vs permanent fixes distinguished | no orphan solutions | prevention addresses systemic factors

Failures: solutions address symptoms not causes | root cause without fix | generic recommendations untied to findings

Severity: Medium -- untraceable solutions are guesses.

Review Output Format

review_id: "rca_rev_{timestamp}"
reviewer: "nw-troubleshooter-reviewer"

dimensions:
  causality_logic:
    score: 0-10
    issues: [{issue, severity, recommendation}]
  evidence_quality:
    score: 0-10
    issues: [{issue, severity, recommendation}]
  alternative_hypotheses:
    score: 0-10
    issues: [{issue, severity, recommendation}]
  five_why_depth:
    score: 0-10
    issues: [{issue, severity, recommendation}]
  completeness:
    score: 0-10
    issues: [{issue, severity, recommendation}]
  solution_traceability:
    score: 0-10
    issues: [{issue, severity, recommendation}]

overall_score: "average of dimension scores"
approval_status: "approved | revisions_required"
summary: "1-2 sentence assessment"

Scoring Guide

  • 9-10: Exemplary. No issues or minor style only.
  • 7-8: Good. Minor issues not affecting conclusions.
  • 5-6: Adequate. Issues weaken but don't invalidate.
  • 3-4: Poor. Issues may lead to incorrect conclusions.
  • 1-2: Failing. Fundamental flaws invalidate analysis.

Approval threshold: overall >= 7 and no dimension below 5.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6162026年9月16日 更新

Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6162026年9月16日 更新

Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6162026年9月16日 更新

Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6162026年9月16日 更新

5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6162026年9月16日 更新

Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.

日本語の概要は準備中です。原文の説明を表示しています。

nWave-ai/nWave6162026年9月16日 更新

nWave-ai のスキルをすべて見る

このスキルの問題を報告する