Refund Reason Cluster
v1.0.0Clusters refund and return reasons to identify root causes and prevention plans, helping reduce avoidable refunds and margin erosion post-purchase.
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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
Name, description, and runtime instructions all describe the same task: normalizing refund reasons, linking to order metadata, clustering causes, and producing prevention actions. No unrelated environment variables, binaries, or installs are requested.
Instruction Scope
SKILL.md limits behavior to data normalization, clustering, and reporting. It does not instruct the agent to access unrelated files, env vars, or external endpoints. However, it lacks explicit guidance on handling PII/PHI or sensitive order identifiers — the skill expects refund logs, transcripts, and order metadata as inputs, so the user must control what data is provided.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes risk from arbitrary downloads or on-disk execution.
Credentials
The skill requests no credentials or config paths (proportionate). Still, the expected inputs are likely to contain customer PII and order-level data; the skill does not declare or enforce how to redact or protect these values.
Persistence & Privilege
always is false and there are no special privileges or modifications to other skills. The default ability for the agent to invoke the skill autonomously is unchanged (normal).
Assessment
This skill appears to do what it says and does not require extra credentials or installs, but before using it: (1) do not feed raw customer PII or full order identifiers — anonymize or sample data where possible; (2) confirm any internal policies about sharing support transcripts or order metadata with third-party skills or models; (3) remember the skill text contains no enforcement for data handling, so treat outputs as analyses that may reveal sensitive signals; (4) note the CC BY-NC-SA 4.0 license and that commercial use apparently requires a paid Razestar license — verify licensing if you plan commercial use; (5) if you are uneasy about autonomous invocation, restrict or audit when the agent may call skills or run this skill on sensitive datasets.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.