Bundle Margin Calculator

v1.0.1

Calculate whether a product bundle improves average order value without quietly destroying contribution margin. Use when teams want to test bundle structures...

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byLeroyCreates@leooooooow
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
Name/description (bundle margin analysis) match the SKILL.md: the doc asks clarifying commercial questions, models scenarios, and returns a reusable Python script and analysis. There are no unrelated credential or system requirements.
Instruction Scope
Runtime instructions stay within the analytics scope: ask scenario questions, accept structured inputs, generate modeling code and outputs. The SKILL.md does not instruct reading system files, contacting external endpoints, or collecting unrelated secrets. Note: it will produce Python scripts intended for the user to run; the skill does not itself execute or fetch remote code.
Install Mechanism
Instruction-only skill with no install spec and no code files. This minimizes disk writes and external code downloads.
Credentials
No required environment variables, credentials, or config paths are declared. The skill legitimately asks for commercial inputs (prices, costs, attach rates), which are proportional to its purpose.
Persistence & Privilege
always:false and no config-path modifications. The skill does not request persistent or elevated privileges. Note: agent autonomous invocation is allowed by default but is not combined with other risky capabilities here.
Assessment
This skill is coherent and low-risk: it only requests business inputs and returns analysis plus a Python script. Before installing/using: avoid pasting secrets or unrelated sensitive data, review the generated Python before running it (run in a sandbox or staging environment), and be mindful that the agent may ask for proprietary commercial figures—only provide data you are comfortable sharing with the agent.

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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