ClawHub

Customer Feedback Analysis

v1.0.0

Analyzes customer reviews from e-commerce platforms to identify sentiment, pain points, feature requests, and improvement priorities with actionable insights.

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bynexscope-ai@nexscope
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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OpenClawOpenClaw
Benign
medium confidence
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Purpose & Capability
The name/description match the instructions: the skill analyzes customer reviews and returns sentiment, pain points, and recommendations. However, the SKILL.md's claim that it "works across major e-commerce platforms" is ambiguous because there are no credentials, APIs, or scraping instructions declared — it appears intended to analyze data you supply rather than automatically fetch reviews from those platforms.
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Instruction Scope
SKILL.md only asks for product reviews, feedback data, and context (brand/ASIN). It does not instruct the agent to read unrelated system files or environment variables, nor to exfiltrate data to unexpected endpoints. No scope creep detected in the provided instructions.
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Install Mechanism
There is no install spec and no code files (instruction-only). The SKILL.md shows an example CLI line ('clawhub install ...') but there is no install manifest or external download — no install-time code execution risk present in the skill package itself.
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Credentials
The skill requests no environment variables or credentials, which aligns with analyzing user-supplied data. If you expect it to automatically pull reviews from platforms (Amazon, Shopify, etc.), you'll need to provide platform-specific API keys or credentials externally — the skill does not declare or request those.
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Persistence & Privilege
The skill is not always-enabled and does not request persistent privileges or modify other skills. Autonomous invocation is allowed by platform default, but nothing in the skill suggests elevated persistence or privilege escalation.
Assessment
This skill appears to be an instruction template that analyzes reviews you provide — it does not automatically fetch data from e-commerce platforms. Before using: (1) do not upload sensitive or unredacted customer PII; anonymize reviews if possible; (2) if you want automatic review ingestion, plan to supply platform API keys or a separate connector — the skill does not request them itself; (3) verify how and where data will be processed (local vs. remote) with the environment running the skill; (4) test with a small sample dataset first; and (5) if anything in the future asks for broad credentials or system file access, decline until the purpose is clear.

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.
Termshttps://spdx.org/licenses/MIT-0.html

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