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- nWave-ai/nWave
- 최근 소스 활동
- 2026년 3월 25일 09:12
- 감지된 SKILL.md 언어
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- 스타
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SOC 직업 분류 기준
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/nWave-ai/nWave --skill nw-tr-review-criteria명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize). Use when all prior waves are complete and the feature is ready for implementation.
Acceptance test creation methodology for the DISTILL wave. Domain knowledge for the acceptance designer agent: port-to-port principle, prior wave reading, wave-decision reconciliation, graceful degradation, and document back-propagation.
| name | nw-tr-review-criteria |
| description | Review dimensions and scoring for root cause analysis quality assessment |
| user-invocable | false |
| disable-model-invocation | true |
Review dimensions and scoring for root cause analysis quality assessment.
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.
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.
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.
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.
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.
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_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 threshold: overall >= 7 and no dimension below 5.