Review Analyzer
v1.0.0Extract sentiment patterns, repeated pain points, and feature requests from customer reviews to prioritize product fixes and copy improvements.
⭐ 0· 66·0 current·0 all-time
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
The name and description match the instructions: the skill requires review text and produces categorized sentiment, pain points, praise themes, and action recommendations. No unrelated resources (cloud credentials, system files, etc.) are requested.
Instruction Scope
SKILL.md confines the agent to ingesting review text provided by the user (pasted text or CSV) and producing a structured report. It explicitly states it will not scrape live pages. The instructions do not direct the agent to read unrelated files, env vars, or transmit data externally.
Install Mechanism
There is no install spec and no code files (instruction-only), so nothing will be written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are requested. The inputs described (reviews_text, product_name, rating_filter, output_goal) are proportional to the stated functionality.
Persistence & Privilege
The skill is not marked always:true and does not request any system-wide persistence or modification of other skills. Autonomous invocation is allowed by platform default but is not combined with other concerning privileges.
Assessment
This skill appears coherent and focused, but consider these practical points before installing and using it:
- Privacy: Do not paste reviews that contain personal data, emails, phone numbers, or other PII. The skill asks you to provide raw review text; sanitize sensitive fields first.
- Sample size: The doc inconsistently mentions "20 or more" in one place and a minimum of "ten" in another; for reliable frequency-based patterns use 30+ reviews where possible.
- Verified vs unverified: The skill says it won't distinguish verified purchases unless you include that info — include a flag column if that distinction matters.
- Hallucination risk: Estimated implementation effort and predicted review-score impact are model-generated estimates; validate recommendations with real testing before making supplier or product decisions.
- Auditability: Because this is instruction-only (no install), review outputs carefully and keep an audit trail of inputs/outputs if you need to justify changes to product or listings.
- Autonomy: The skill is user-invocable and not forced always-on. If you are worried about autonomous runs, ensure platform-level controls for skill invocation are in place.
Overall, nothing in the skill requests unrelated access or installs, so it is coherent with its stated purpose.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.