IMPORTANT — Working Directory: All scripts in this skill MUST be executed with the working directory set to the absolute path of the directory containing this SKILL.md file (the skill root directory). Always cd into this directory before running any command. Do NOT use relative paths or shell shortcuts like ~ in paths, as they may not be resolved by the execution environment.
Review Checker v3.0.0
Product Understanding Step
Before running this skill, if the user provides a product, image, ASIN, listing, product ID, or product idea, first identify:
- product type/category
- main use case
- key physical, design, or functional features
- target marketplace, country, or platform
- user's analysis goal
Use this product understanding to choose parameters, filters, competitors, regions, keywords, or analysis dimensions before executing the script.
Analyze actual review content to find pain points and opportunities.
🆕 v3.0.0: Now fetches REAL review text for pain point mining!
Core Questions
— What are customers complaining about?
— How high is the review barrier?
— Where are competitors failing?
When to Use
- Mining customer pain points from real reviews
- Finding product improvement opportunities
- Evaluating market entry difficulty
- Understanding what competitors do well/poorly
- Identifying differentiation angles
Differs From / Not Applicable
- Use review-monitor for recent review alerts and sentiment changes.
- Use differentiation-advisor when the user wants USP/product-improvement strategy from evidence.
- Use this skill for deep historical review mining and pain-point discovery.
What's New in v3.0.0
| Feature |
v2.0 |
v3.0 |
| Review barrier analysis |
✅ |
✅ |
| Pain point mining |
❌ API broken |
✅ Real review text |
| Sentiment analysis |
❌ |
✅ |
| Positive aspects |
❌ |
✅ |
| Review examples |
❌ |
✅ Actual quotes |
| Opportunity generation |
Basic |
Enhanced with examples |
Data Sources
| Source |
Endpoint |
Data |
| Amazon |
/api/v1/tools/research/amazon/search |
Products with review counts |
| Amazon |
/api/v1/tools/research/amazon/usReviewsList |
US market review content |
| Amazon |
/api/v1/tools/research/amazon/reviews/list |
Non-US review content (with domainCode) |
Supported Marketplaces
| Market |
Domain Code |
Status |
| UK |
co.uk |
✅ Primary |
| Canada |
ca |
✅ |
| Germany |
de |
✅ |
| France |
fr |
✅ |
| Japan |
co.jp |
✅ |
| Australia |
com.au |
✅ |
| US |
— |
✅ Supported (via /api/v1/tools/research/amazon/usReviewsList) |
Note: US market uses a dedicated API endpoint /api/v1/tools/research/amazon/usReviewsList. Non-US markets use /api/v1/tools/research/amazon/reviews/list with the appropriate domainCode.
⚠️ MANDATORY: Charts & Display Rules
- Generate charts by default for full analytical reports — use
--chart with an output directory unless the user asks for a quick text-only result or chart data is unavailable.
- Send generated charts to the user — when charts are created, share all chart PNGs immediately.
- All chart styling is driven by
ecommerce_chart_helpers.py which reads from chart_style.json (derived from references/display-rules.md). Do NOT hardcode colors in scripts.
Usage
# Analyze by keyword (full analysis)
python3 scripts/review_checker.py '{"keyword": "yoga mat"}'
# Specific market
python3 scripts/review_checker.py '{"keyword": "yoga mat", "market": "UK"}'
# Analyze specific ASIN
python3 scripts/review_checker.py '{"asin": "B01LP0U5X0", "market": "UK"}'
# With charts
python3 scripts/review_checker.py '{"keyword": "yoga mat"}' --chart /tmp/output
Parameters
| Parameter |
Type |
Default |
Description |
keyword |
string |
- |
Keyword to analyze |
asin |
string |
- |
Specific ASIN (alternative to keyword) |
market |
string |
|
Marketplace code |
mode |
string |
|
, "barrier", or "painpoints" |
limit |
int |
60 |
Products for barrier analysis |
Output Structure
{
"keyword": "yoga mat",
"market": "US",
"domain_codeco.uk",
"api_versionv3.0.0",
"barrier_analysis": {
"barrier_score": 45,
"barrier_levelHIGH",
"distributionmediantop_10_avg": 15000},
"tier_breakdown": {...}
},
"pain_point_analysis": {
"reviews_analyzed": 180,
"negative_count": 72,
"negative_percentage": 40.0,
"rating_distribution1_star2_star": 20, ...},
"pain_points": [
{
"category": "Smell",
"category": "_keysmell",
: 25,
"percentage": 34.7,
"severityMEDIUM",
"common_phraseschemical smell", "strong odor"],
: [
{
"rating": 1,
"title": "Terrible chemical smell",
"snippetHad to air it out for a week...",
"verified": true
}
]
}
],
"positive_aspects": [
{
"category": "Value",
: 45,
"percentage": 41.7,
: [...]
}
],
"verified_review_percentage": 85.2,
"vine_review_percentage": 3.1
},
"opportunities": {
"product_improvements": [
],
"listing_improvements": [
],
"differentiation_angles": [
],
"competitor_strengths_to_match": [
]
},
"insights": {
"summaryBarrier: HIGH (45/100) | Top Pain: Smell",
"barrier_assessmentHigh barrier (score 45). Median 982 reviews...",
"pain_point_summaryTop complaints: **Smell** (35%), **Durability** (22%)",
"positive_summaryCustomers love: Value (42%), Ease Of Use (28%)",
"recommendations": [
"🎯 Top opportunity: Address 'Smell' issues",
"💡 Differentiation: 100% Odor-Free Guarantee"
]
}
}
Pain Point Categories
| Category |
Severity |
Keywords Detected |
| Quality |
🔴 HIGH |
cheap, flimsy, defective |
| Durability |
🔴 HIGH |
broke, fell apart, peeling |
| Functionality |
🔴 HIGH |
doesn't work, malfunction |
| Misleading |
🔴 HIGH |
not as described, fake |
| Size/Fit |
🟡 MEDIUM |
too small, wrong size |
| Value |
🟡 MEDIUM |
overpriced, not worth it |
| Smell |
🟡 MEDIUM |
chemical smell, odor |
| Customer Service |
🟡 MEDIUM |
no response, refund |
| Shipping |
🟢 LOW |
arrived damaged |
| Instructions |
🟢 LOW |
confusing, hard to assemble |
Positive Aspect Categories
| Category |
Keywords Detected |
| Quality |
high quality, well made, sturdy |
| Value |
great value, worth every penny |
| Ease of Use |
easy to use, simple, intuitive |
| Durability |
durable, long lasting |
| Appearance |
looks great, beautiful |
| Comfort |
comfortable, soft |
| Fast Shipping |
fast shipping, arrived early |
| Recommend |
highly recommend, love it |
Charts Generated
| Chart |
Description |
File |
| Tier Distribution |
Review barrier tiers |
1_tier_distribution.png |
| Pain Points |
Horizontal bar with severity |
2_pain_points.png |
| Rating Distribution |
1-5 star breakdown |
3_rating_distribution.png |
| Positive Aspects |
What customers love |
4_positive_aspects.png |
| Barrier Score |
Gauge visualization |
5_barrier_score.png |
Review Tiers (Barrier Analysis)
| Tier |
Range |
Difficulty |
| Zero |
0 |
🟢 New product |
| Starter |
1-49 |
🟢 Entry-friendly |
| Established |
50-199 |
🟡 Getting traction |
| Competitive |
200-999 |
🟡 Solid presence |
| Dominant |
1K-5K |
🔴 Hard to challenge |
| Fortress |
5K+ |
⛔ Market leader |
Barrier Score (0-100)
| Level |
Score |
Entry Strategy |
| 🟢 LOW |
70-100 |
Launch confidently |
| 🟡 MODERATE |
50-70 |
Strong launch needed |
| 🔴 HIGH |
30-50 |
Differentiate heavily |
| ⛔ FORTRESS |
0-30 |
Find sub-niche |
Workflow Integration
📊 Competition Phase
├── market-share-analyzer → Brand concentration
├── competitor-analyzer → Competitor landscape
└── review-checker → Pain points + barrier ← YOU ARE HERE
🎯 Differentiation
├── review-checker → Find competitor weaknesses
└── differentiation-advisor → Build positioning
Example Analysis
Keyword: "yoga mat" (UK market)
| Metric |
Value |
| Reviews Analyzed |
180 |
| Negative Rate |
40% |
| Top Pain Point |
Smell (35%) |
| Top Positive |
Value (42%) |
| Barrier Score |
45 (HIGH) |
Top Recommendations:
- 🎯 Address 'Smell' - biggest customer complaint
- 💡 Differentiate with
- ⚠️ High barrier - consider niche variant
Limitations
- US market supported via dedicated
/api/v1/tools/research/amazon/usReviewsList endpoint
- Max 100 reviews per star rating per ASIN
- Reviews fetched in real-time (no historical archive)
- Pain point detection is keyword-based (not AI sentiment)
- Category cleaner may filter some products
Environment Variables
| Variable |
Required |
Description |
NEXSCOPE_PROXY_BASE |
Yes |
NexScope proxy base URL |
NEXSCOPE_API_KEY |
Yes |
NexScope proxy API key |
References
references/display-rules.md — Chart styling guidelines
