Ltv Cac Calculator
v1.0.1Compare ecommerce LTV and CAC using realistic order, margin, and retention assumptions. Use when teams need to know whether acquisition is compounding value...
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byLeroyCreates@leooooooow
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description match the SKILL.md: it requests ecommerce metrics (AOV, margin, frequency, CAC, optional costs) and promises to compute LTV/CAC and produce a reusable Python script. There are no unrelated environment variables, binaries, or installs.
Instruction Scope
Instructions stay within scope: ask clarifying questions, accept structured user data, compute LTV/CAC, show assumptions, produce risk commentary and a reusable Python script. The instructions do not direct the agent to read system files, access credentials, or send data to external endpoints.
Install Mechanism
No install spec and no code files beyond the instruction template — nothing is written to disk or downloaded by the skill itself. This is the lowest-risk install profile.
Credentials
The skill requires no environment variables, credentials, or config paths. All required inputs are user-supplied numerical/assumption data appropriate to the task.
Persistence & Privilege
always is false and the skill does not request persistent privileges or modify other skills or system settings. Autonomous invocation is allowed (platform default) but combined with no extra privileges, this is proportionate.
Assessment
This skill appears coherent and low-risk: it only asks for business metrics and produces a Python script and analysis. Before using, avoid pasting sensitive PII or raw customer-identifying data into the chat; review any generated Python code before executing it in your environment (run it in a sandbox or inspect for unintended operations). If you plan to run the script on production data, validate assumptions and test on a safe sample first. If you need the agent to actually execute code or access your datasets, expect that would require additional permissions or connectors not described here.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.