Cart Bundle Aov Upsell
v0.1.0Generates real-time, logical product bundles and cross-sell offers from cart contents to increase average order value and reduce checkout abandonment.
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byRIJOY-AI@rijoyai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name, description, and required behavior in SKILL.md align: the skill turns cart line items into bundling/upsell suggestions. It does not request unrelated binaries, environment variables, or config paths.
Instruction Scope
SKILL.md stays on-topic (cart contents → bundle suggestions) and references only included playbook files. It asks the agent to use cart context, margin guardrails, and optional new-launch info. One behavioral note: when the user is vague the skill explicitly instructs the agent to emit plausible SKU placeholders or 'bait' bundles — this can produce fabricated placeholders if real cart data isn't provided. That is a functional choice (not a security risk) but can lead to hallucinated product names/assumptions if the integrator doesn't supply real cart data.
Install Mechanism
No install spec and no code files to execute; instruction-only skill with included reference docs. No downloads or archive extraction are performed by the skill.
Credentials
The skill declares no required environment variables, credentials, or config paths. The runtime instructions request merchant/cart context but do not demand secrets or unrelated service tokens.
Persistence & Privilege
Flags are default (always:false). The skill does not request persistent or elevated privileges, nor does it instruct modification of other skills or global agent settings.
Assessment
This is an instruction-only shopping-guide skill that does not install code or request credentials, so it is internally coherent for the claimed purpose. Before enabling widely: 1) ensure the agent integration supplies real cart data and margin guardrails (otherwise the skill will emit plausible placeholders that may be inaccurate); 2) review generated bundles for margin/legal/compliance impact before publishing live upsells; 3) test outputs in a staging environment and verify the suggested CTAs and pricing adjustments behave correctly in your checkout flow; and 4) confirm the agent's connectors that supply cart data are secure, since the skill expects cart context but does not itself manage auth or network access.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.