Offer Profitability Checker

v1.0.1

Check whether an ecommerce offer is commercially viable after discounts, costs, refunds, and traffic economics are included. Use when teams need a fast profi...

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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
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Benign
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Benign
high confidence
Purpose & Capability
Name and description match the SKILL.md: it requests commercial assumptions and promises scenario/sensitivity analysis and reusable Python scripts. It does not ask for unrelated credentials, binaries, or system resources.
Instruction Scope
Runtime instructions stay within the stated purpose: ask clarifying questions, model inputs, show assumptions/formulae, produce baseline/scenarios/sensitivity, and return a Python script. The skill does not instruct the agent to read system files, environment variables, or exfiltrate data to external endpoints.
Install Mechanism
There is no install spec and no code files to write to disk. This lowers the risk surface and is proportionate for an advice-and-script-generation skill.
Credentials
The skill declares no environment variables, credentials, or config paths. That is consistent with an instruction-only modeling helper that only needs user-provided commercial inputs.
Persistence & Privilege
always:false and no special privileges requested. The skill does not request persistent presence or modification of other skills/config. Autonomous invocation is enabled by platform default but not excessive here.
Assessment
This skill appears coherent and low-risk, but treat generated code like any third-party script: review the returned Python before running it (ensure it doesn't make unexpected network calls or access local secrets), avoid pasting sensitive credentials into prompts, and validate assumptions/inputs before using results for production decisions. If you plan to execute generated scripts in automation, review and sandbox them and pin any external dependencies.

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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