product-review-analysis SKILL.md skillA
product-review-analysis from nexscope-ai/ecommerce-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nexscope-ai/ecommerce-skills/product-review-analysis@git:20260610.c734e8cPins git:20260610.c734e8c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nexscope-ai/ecommerce-skills
- Path
product-review-analysis/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260610.c734e8c, committed Jun 10, 2026
- First version recorded
- Mar 24, 2026
- Size
- 14,267 bytes
- Repository stars
- 1,361
- License
- MIT
Product review analysis and customer feedback intelligence. Pain point identification, praise pattern analysis, feature request extraction, sentiment analysis, and product improvement insights. Use when the user asks about review analysis, customer feedback, product reviews, or sentiment analysis.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Product Review Analysis ⭐ Transform customer reviews into actionable product and marketing intelligence. Extract insights, identify opportunities, optimize offerings. ## Installation ```bash npx skills add nexscope-ai/eCommerce-Skills --skill product-review-analysis -g ``` ## Usage Examples **Product improvement insights:** ``` "Analyze reviews for my wireless headphones - what are customers complaining about most?" ``` **Competitive review intelligence:** ``` "Compare customer sentiment between my product and top 3 competitors from their reviews" ``` **Feature development guidance:** ``` "What features are customers requesting most in fitness tracker reviews?" ``` ## Core Capabilities ### 1. Sentiment Analysis & Classification - Overall sentiment scoring and trend analysis - Emotion detection and customer satisfaction measurement - Review authenticity assessment and quality filtering - Temporal sentiment tracking and pattern identification ### 2. Pain Point & Praise Pattern Analysis - Systematic complaint categorization and frequency analysis - Positive feedback theme identification and strength assessment - Root cause analysis for customer dissatisfaction …
Read the whole file at its exact version.
How to install
mdr add nexscope-ai/ecommerce-skills/product-review-analysis@sha256:f685d0447460df78The line at the top of this page pins the label git:20260610.c734e8c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_oztabccokcronygd)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Mar 24, 2026 and Jun 10, 2026, about one every 39 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260610.c734e8c latest | 2026-06-10 | c734e8c | 14,267 B | A | view · diff |
| git:20260409.0419aee | 2026-04-09 | 0419aee | 2,312 B | A | view · diff |
| git:20260324.bf7b5c8 | 2026-03-24 | bf7b5c8 | 2,284 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14267 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nexscope-ai/ecommerce-skills · 1,361 stars · license MIT · pushed 2026-08-26 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oztabccokcronygd GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/ecommerce-skills/product-review-analysis GET https://markdownregistry.com/api/v1/blob/f685d0447460df78b0b2b0b057ed4eb52e473257f03bca5564df7a9c890efeaa
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.