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SaaS Churn Analysis
作者
samledger67-dotcom
· GitHub ↗
· v1.0.0
· MIT-0
174
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install saas-churn-analysis
功能描述
SaaS churn and retention analysis: cohort-based churn rates, retention curves, revenue churn vs logo churn, at-risk customer identification, expansion vs con...
安全使用建议
This skill appears coherent for doing churn and retention analysis. Before installing or using it: (1) be prepared to supply your subscription and MRR datasets (containing customer/usage data) — avoid sending unnecessary PII to third parties; (2) ensure your agent/runtime has Python and pandas if you want to run the provided examples (the skill did not declare dependencies); (3) do not expect the skill to send emails or change billing — it explicitly says not to perform outreach or billing actions; and (4) review any outputs for sensitive customer data before sharing externally.
功能分析
Type: OpenClaw Skill
Name: saas-churn-analysis
Version: 1.0.0
The saas-churn-analysis skill bundle provides comprehensive instructions and Python code snippets for calculating SaaS metrics like NRR, GRR, and cohort retention. The logic in SKILL.md is focused on data processing using pandas and provides structured playbooks for churn recovery analysis. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力评估
Purpose & Capability
The name/description (cohort analysis, NRR/GRR, at-risk accounts, recovery playbooks) match the SKILL.md content: definitions, formulas, and example Python/pandas code for cohort and revenue analysis. No unrelated services, env vars, or binaries are requested.
Instruction Scope
Instructions are focused on computing retention metrics from subscription/MRR datasets and producing playbooks; they explicitly say not to perform outreach or billing actions. The examples operate on in-memory DataFrames (user-supplied data). The skill does not instruct reading unrelated system files, exfiltrating data, or calling external endpoints.
Install Mechanism
This is instruction-only (no install spec) which is low-risk. Minor inconsistency: the provided code examples use Python and pandas, but no dependencies or runtime expectations are declared. Users should ensure a Python environment with pandas is available if they expect runnable examples.
Credentials
The skill declares no required environment variables, credentials, or config paths. It expects customer/subscription data as input (appropriate for the purpose). There are no requests for unrelated secrets or external service tokens.
Persistence & Privilege
The skill is not always-enabled and does not request elevated persistence or modification of other skills or system settings. Autonomous invocation is allowed (platform default) but not combined with other concerning privileges here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install saas-churn-analysis - 安装完成后，直接呼叫该 Skill 的名称或使用
/saas-churn-analysis触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release: cohort retention tables, NRR/GRR calculation, MRR bridge, at-risk customer scoring, churn recovery playbooks, and investor-ready retention metrics
元数据
常见问题
SaaS Churn Analysis 是什么？
SaaS churn and retention analysis: cohort-based churn rates, retention curves, revenue churn vs logo churn, at-risk customer identification, expansion vs con... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 174 次。
如何安装 SaaS Churn Analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install saas-churn-analysis」即可一键安装，无需额外配置。
SaaS Churn Analysis 是免费的吗？
是的，SaaS Churn Analysis 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
SaaS Churn Analysis 支持哪些平台？
SaaS Churn Analysis 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 SaaS Churn Analysis？
由 samledger67-dotcom（@samledger67-dotcom）开发并维护，当前版本 v1.0.0。
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