技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 536 · 1 current installs · 1 all-time installs
⭐ 0
安装量（当前） 1
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1kalin/afrexai-churn-analyzer
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's instructions, required inputs, and behavior are consistent with a churn-risk scoring helper and do not request unrelated credentials or install code, but the package metadata is sparse and the skill links to external paid resources — exercise normal caution with customer data and third-party links.
目的
The name, README, and SKILL.md all describe churn-risk scoring from usage, tickets, billing, and engagement data; nothing in the skill's files requests unrelated capabilities (cloud creds, system access, or unusual binaries).
说明范围
Runtime instructions ask the agent to request CSVs/CRM exports or manual descriptions and to produce reports and recommendations — this stays within expected scope. Note: it references external AfrexAI context packs and a revenue calculator (promotional links); the instructions do not direct the agent to send data to those endpoints but a user could be encouraged to follow the links.
安装机制
No install spec or code files (instruction-only). This minimizes disk/write/execution risk.
证书
The skill declares no environment variables, credentials, or config paths. Its stated inputs (CSV/CRM/manual data) are appropriate for churn analysis and do not require unrelated secrets.
持久
Does not request always:true and contains no install hooks or permanent modifications; normal autonomous invocation applies but the skill itself does not request elevated persistence.
综合结论
This skill appears coherent for churn scoring and does not request credentials or install code, but consider the following before use: (1) Only provide customer data you are allowed to share — scrub or anonymize PII if unsure. (2) Prefer exporting and reviewing CSVs locally rather than pasting sensitive data into public chat or unfamiliar integrations. (3) The README links to paid AfrexAI resources — those are external and not required for the…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Churn Risk Analyzer」。简介：Analyze customer data to score churn risk, categorize accounts, and recommend t…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-churn-analyzer/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# Churn Risk Analyzer
Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions.
## When to Use
- Customer success reviews
- Quarterly retention planning
- When usage data or support ticket logs are available
- Proactive outreach prioritization
## How It Works
### 1. Gather Data
Ask the user for available data sources:
- **Usage metrics** (logins, feature adoption, API calls)
- **Support tickets** (frequency, sentiment, resolution time)
- **Billing history** (downgrades, late payments, discount requests)
- **Engagement signals** (email opens, meeting attendance, NPS scores)
If no structured data, work from what the user describes qualitatively.
### 2. Score Each Account
Apply this risk framework:
| Signal | Weight | High Risk Indicator |
|--------|--------|-------------------|
| Usage decline (30d) | 25% | >30% drop |
| Support ticket spike | 20% | 2x+ above baseline |
| Champion departure | 20% | Key contact left |
| Contract timing | 15% | <90 days to renewal |
| Payment behavior | 10% | Late/disputed invoices |
| Engagement drop | 10% | No response to last 3 outreach |
**Score**: 0-100 (higher = more likely to churn)
### 3. Categorize
- **🔴 Critical (75-100)**: Immediate intervention needed
- **🟡 At Risk (50-74)**: Schedule check-in this week
- **🟢 Healthy (25-49)**: Monitor monthly
- **💚 Thriving (0-24)**: Expansion opportunity
### 4. Recommend Actions
For each at-risk account, suggest specific retention plays:
- Executive sponsor call
- Custom success plan
- Feature training session
- Pricing review / loyalty offer
- Roadmap preview (show upcoming value)
### 5. Output
Generate a retention report with:
- Ranked list of accounts by churn risk
- Top 3 actions per critical account
- Estimated revenue at risk
- 30/60/90 day retention calendar
## Integration Notes
- Works with CSV exports, CRM data, or manual input
- Pair with the [AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/) for industry-specific retention strategies ($47/pack)
- For a full AI-powered retention system built for your business, try the [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) to see what you're leaving on the table