v1.0.0

08 Data Growth

BenignClawScan verdict for this skill. Analyzed May 1, 2026, 2:43 PM.

Analysis

This appears to be a data-growth reference skill with purpose-aligned local calculator examples and no evidence of credential use, network access, file access, persistence, or destructive behavior.

GuidanceThis skill looks safe to install as a business analytics reference. If you use its customer segmentation or growth-analysis methods with real customer data, handle that data according to your privacy and access-control policies, and review any embedded Python snippets before running them.

Findings (1)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

Abnormal behavior control

Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.

Unexpected Code Execution

SeverityInfoConfidenceHighStatusNote

references/continuation.md

#!/usr/bin/env python3 ... if __name__ == "__main__":
    run()

The reference markdown includes runnable Python examples for A/B testing and attribution calculators, even though the package is described as instruction-only. The shown code is simple local calculation logic and does not contain network, file, credential, or shell behavior.

User impactIf a user or agent chooses to run these snippets, they execute local calculation code, but the visible code does not show harmful system access.

RecommendationTreat the snippets as code if you copy or run them, and review any inputs/results before using them for business decisions.