cs-escalation

cs-escalation is a skill for Claude Code from modu-ai/moai-cowork. It costs 89 tokens per session (1,990 once invoked), scanned A, original, Apache-2.0.

A customer-support escalation manager for complaints, VIP cases, customer feedback, and recurring service problems. It assigns escalation levels, analyses the voice of the customer, and creates weekly support summaries.

In plain words
What is it for?
Use it to plan responses to serious complaints, handle VIP cases, review tickets and social mentions, find recurring issues, and prepare weekly customer-support reports.
Why use it?
It helps teams decide which complaints need senior attention and turns repeated feedback into service-improvement priorities.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the moai-cs plugin — 6 skills, 2 agents shipped together

Good fit Use it to plan responses to serious complaints, handle VIP cases, review tickets and social mentions, find recurring issues, and prepare weekly customer-support reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/modu-ai/moai-cowork/cs-escalation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add modu-ai/moai-cowork --skill cs-escalation
Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-cowork

Made for: Claude Code.

Or install moai-cs, the plugin that ships this one along with the rest of its 6 skills, 2 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cs-escalation

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-cowork/cs-escalation/github.svg)](https://agentmods.dev/skills/modu-ai/moai-cowork/cs-escalation)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/cs-escalation"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/cs-escalation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cs-escalation

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/cs-escalation"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/cs-escalation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,990 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.01990
Opus 5 $0.00044 $0.00995
Sonnet 5 $0.00018 $0.00398
Haiku 4.5 $0.00009 $0.00199

Measured 7d ago against content hash ba16e49b5f54, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

cs-escalation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/moai-cs/skills/cs-escalation/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

에스컬레이션 관리자 (Escalation Manager)

개요

고객 불만 에스컬레이션 처리, VIP 고객 특별 응대, VOC(고객의 소리) 분석 및 주간 CS 요약 보고서를 생성합니다. 2026년 한국 CX 트렌드(필코노미 — 감정이 소비 변수)를 반영하여 감정 기반 민원 대응과 데이터 기반 서비스 개선 인사이트를 제공합니다. moai-schedules 연동을 통해 매주 금 5pm 자동 CS 요약 생성 가능.

트리거 키워드

에스컬레이션, 고객 불만, 컴플레인, 피드백 분석, VOC, NPS, VIP 응대, 고충 처리, CS 요약, 주간 CS, 고객 인사이트

워크플로우

에스컬레이션 처리

  1. 긴급도 재판정: cs-ticket-triage 결과 확인 또는 직접 입력 내용 분석
  2. 감정 수위 분석: 분노/좌절/실망/중립 분류 (필코노미 트렌드 반영)
  3. 에스컬레이션 레벨 배정:
    • Level 1: 팀 리더 → 2시간 이내 대응
    • Level 2: 부서장 → 4시간 이내 대응
    • Level 3: 경영진 → 즉시 대응 (서비스 장애, 미디어 노출 위험)
  4. VIP 여부 확인: 고객 등급, 구매 이력, 소셜 영향력 기준
  5. 대응 전략 수립: 공감 먼저 → 원인 분석 → 보상안 → 재발 방지
  6. 해결 후 팔로업: 처리 완료 확인 연락, 만족도 확인 설문

VOC 분석 및 보고

  1. 데이터 수집: 기간 내 티켓, 채팅 로그, SNS 멘션 수집
  2. 유형별 분류: 불만 → 개선 요청 → 칭찬 → 문의
  3. 트렌드 분석: 반복 이슈 파악, 전주 대비 증감
  4. 인사이트 도출: Top 3 이슈, 근본 원인, 개선 우선순위
  5. 보고서 생성: 주간 CS 요약 마크다운 문서

에스컬레이션 매트릭스

유형 긴급도 담당 레벨 응답 목표
서비스 장애 최고 Level 3 (경영진) 30분 이내
결제 오류 높음 Level 2 (부서장) 1-2시간
VIP 불만 높음 Level 2 (부서장) 1-2시간
반복 민원 중간 Level 1 (팀 리더) 4시간 이내
SNS 공개 불만 높음 Level 2 + PR팀 2시간 이내
일반 불만 보통 담당 상담사 24시간 이내

주간 CS 요약 보고서 형식

[주간 CS 요약] {YYYY}년 {M}월 {N}주차

■ 핵심 지표
- 총 수신 티켓: N건 (전주 대비 ±N%)
- 평균 응답 시간: N시간 (목표: 4시간 이내)
- 1회 해결율(FCR): N% (목표: 80% 이상)
- 고객 만족도(CSAT): N점 / 5점

■ 유형별 현황
| 유형 | 건수 | 비율 | 전주 대비 |
|------|------|------|-----------|

■ 에스컬레이션 현황
- Level 1: N건 | Level 2: N건 | Level 3: N건

■ Top 3 이슈 & 인사이트
1. [이슈]: [원인] → [개선 권고]

■ 다음 주 액션
- [ ] ...

2026년 감정 기반 CS 대응 원칙

Zendesk·Medallia 2026 CX 연구 반영:

  • 필코노미 대응: 감정 상태(분노/좌절/실망)를 먼저 공감 후 해결책 제시
  • Human-in-the-Loop: AI 1차 분류 후 복잡·감정적 민원은 반드시 인간 상담사 전환
  • 맥락 유지: 고객 74%가 반복 설명 불만 → 이전 대화 이력을 에스컬레이션 담당자에게 전달
  • AI 투명성: AI가 처리한 내용을 고객에게 명시적으로 고지 (고객 95% 요구)

산출물

  • 에스컬레이션 처리 계획서 (레벨/담당자/타임라인)
  • VIP 응대 특별 대응 스크립트
  • 주간 VOC/CS 요약 보고서
  • 반복 이슈 Top 3 개선 권고안
  • 고객 만족도 트렌드 분석

Read the full file on GitHub · 135 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 135 lines · 89 tokens per session scan A ba16e49b5f54

Subscribe to this mod's changes

cs-escalation is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 7d ago), licensed Apache-2.0. It adds 89 tokens to every session and 1,990 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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