SaaS Churn Analysis

v1.0.0

SaaS churn and retention analysis: cohort-based churn rates, retention curves, revenue churn vs logo churn, at-risk customer identification, expansion vs con...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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