Amazon review authenticity analyzer. An agent skill from nexscope-ai/eCommerce-Skills.
$ npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills amazon-review-checker --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/review-checker/amazon-review-checker .claude/skills/amazon-review-checker && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "amazon-review-checker" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/review-checker/amazon-review-checker into .claude/skills/amazon-review-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-review-checker", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nexscope-ai/eCommerce-Skills/tree/main/review-checker/amazon-review-checkerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills amazon-review-checker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/review-checker/amazon-review-checker .agents/skills/amazon-review-checker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "amazon-review-checker" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/review-checker/amazon-review-checker into .agents/skills/amazon-review-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-review-checker", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills amazon-review-checker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/review-checker/amazon-review-checker .cursor/skills/amazon-review-checker && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "amazon-review-checker" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/review-checker/amazon-review-checker into .cursor/skills/amazon-review-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-review-checker", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nexscope-ai/eCommerce-Skills.git --path review-checker/amazon-review-checker--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills amazon-review-checker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/review-checker/amazon-review-checker .gemini/skills/amazon-review-checker && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "amazon-review-checker" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/review-checker/amazon-review-checker into .gemini/skills/amazon-review-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-review-checker", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nexscope-ai/eCommerce-Skills amazon-review-checkerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/review-checker/amazon-review-checker .github/skills/amazon-review-checker && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "amazon-review-checker" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/review-checker/amazon-review-checker into .github/skills/amazon-review-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-review-checker", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills amazon-review-checker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/review-checker/amazon-review-checker .opencode/skills/amazon-review-checker && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "amazon-review-checker" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/review-checker/amazon-review-checker into .opencode/skills/amazon-review-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "amazon-review-checker", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
amazon-review-checkerAmazon review authenticity analyzer. An agent skill from nexscope-ai/eCommerce-Skills.
Amazon Review Checker is an agent skill from nexscope-ai/eCommerce-Skills. Amazon review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes time clustering detection, content similarity analysis, rating distribution checks, and verified purchase validation. Progressive analysis with L1-L4 depth levels. No API key required.
Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/analyzer.py`, `scripts/parser.py` and `scripts/report_html.py`).
The repository describes itself as: E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy… The licence is MIT.
Read from SKILL.md and the folder at commit ee0fb29. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3npxFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
nexscope.aiFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Amazon Review Checker loads about 869 tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 184 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from nexscope-ai/eCommerce-Skills at commit ee0fb29, republished under its MIT licence (© nexscope-ai). 184 words, ~869 tokens.
.claude/skills/amazon-review-checker/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Review authenticity analyzer — detect fake reviews, suspicious patterns, and rating manipulation.
npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -g| Level | Required Data | Unlocked Analysis |
|---|---|---|
| L1 Basic | Review content | Similarity, length, keywords |
| L2 Advanced | + Review date | Time clustering detection |
| L3 Deep | + Star rating | Rating distribution analysis |
| L4 Complete | + VP status | Verified purchase validation |
| Dimension | Weight | Method |
|---|---|---|
| Time Clustering | 25% | Sliding window + burst detection |
| Content Similarity | 20% | N-gram + Jaccard similarity |
| Rating Distribution | 20% | Chi-square test vs natural distribution |
| VP Ratio | 15% | Compare to category benchmark |
| Review Length | 5% | Entropy analysis |
| Suspicious Keywords | 5% | Keyword pattern matching |
| Score | Level | Description |
|---|---|---|
| 70-100 | ✅ Low Risk | Reviews appear authentic |
| 50-69 | ⚠️ Medium Risk | Some concerns found |
| 30-49 | 🔴 High Risk | Multiple red flags |
| 0-29 | 💀 Critical | Likely mass fake reviews |
Paste reviews directly in conversation:
Check these reviews:
5 stars - Great product! Works perfectly.
5 stars - Amazing! Best purchase ever.
1 star - Not as described.python3 scripts/analyzer.py '[
{"content": "Great product!", "rating": 5, "date": "2024-01-15", "verified_purchase": true},
{"content": "Amazing!", "rating": 5, "date": "2024-01-15", "verified_purchase": false}
]'python3 scripts/analyzer.py --demo📊 Review Authenticity Report
ASIN: B08XXXXX
Reviews: 10
Analysis Level: L4
━━━━━━━━━━━━━━━━━━━━━━━━
Authenticity Score: 66/100 ⚠️
Medium Risk - Some concerns found.
━━━━━━━━━━━━━━━━━━━━━━━━
Detection Dimensions
🔴 Time Clustering: 70/100
Max 6 reviews within 48h
✅ Content Similarity: 24/100
Found 0 highly similar review groups
━━━━━━━━━━━━━━━━━━━━━━━━
High-Risk Reviews (Top 3)
1. Risk 75% - "Perfect!"
Reason: Too short, non-VP, templated 5-star
🔍 Want more accurate analysis? Add:
• Reviewer info → Unlock "Account Profile Analysis"User Input (any format)
↓
Smart field detection
↓
Analyze with available data
↓
Results + depth suggestions
↓
User continues or endsPart of Nexscope AI — AI tools for e-commerce sellers.
© nexscope-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts) in review-checker/amazon-review-checker of nexscope-ai/eCommerce-Skills.
Open the folder on GitHubat commit ee0fb29
Amazon Review Checker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Amazon Review Checker this skillnexscope-ai/eCommerce-Skills | 1.1k | — | ~869 | Automated safety check: Pass | MIT | |
| Detecting Anomalous Authentication Patternsmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~7.5k | Automated safety check: Pass | Apache-2.0 | |
| Detecting Suspicious Powershell Executionmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~923 | Automated safety check: Pass | Apache-2.0 | |
| Detecting Suspicious OAuth Application Consentmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~605 | Automated safety check: Pass | Apache-2.0 | |
| Agent Authenticationruvnet/ruflo | 74k | 2 repos | ~711 | Automated safety check: Pass | MIT | |
| Amazon Competitor Analyzerbrowser-act/skills | 6.1k | 1 repos | ~1k | Automated safety check: Notes | MIT |
mukul975/Anthropic-Cybersecurity-Skills
Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying…
mukul975/Anthropic-Cybersecurity-Skills
Hunt for suspicious PowerShell execution (T1059.001) such as encoded commands, download cradles, AMSI bypass, and constrained language mode evasion using EDR telemetry (CrowdStrike, Microsoft…
mukul975/Anthropic-Cybersecurity-Skills
Detect risky OAuth application consent grants in Azure AD / Microsoft Entra ID using Microsoft Graph API, audit logs, and permission analysis to identify illicit consent grant attacks.
ruvnet/ruflo
Agent skill for authentication - invoke with $agent-authentication
browser-act/skills
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis.
alirezarezvani/claude-skills
A skill your agent uses when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry.
nexscope-ai/eCommerce-Skills
Amazon profit margin calculator for sellers. An agent skill from nexscope-ai/eCommerce-Skills.
nexscope-ai/eCommerce-Skills
Brand monitoring tool for tracking mentions across social media platforms.
nexscope-ai/eCommerce-Skills
Amazon brand protection toolkit. An agent skill from nexscope-ai/eCommerce-Skills.
nexscope-ai/eCommerce-Skills
eBay brand protection toolkit. An agent skill from nexscope-ai/eCommerce-Skills.
nexscope-ai/eCommerce-Skills
Shopify/DTC brand protection toolkit. An agent skill from nexscope-ai/eCommerce-Skills.
nexscope-ai/eCommerce-Skills
TikTok Shop brand protection toolkit. An agent skill from nexscope-ai/eCommerce-Skills.
Amazon review authenticity analyzer. An agent skill from nexscope-ai/eCommerce-Skills. Amazon Review Checker is an agent skill from nexscope-ai/eCommerce-Skills. Amazon review authenticity analyzer.
Run `npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -a claude-code`. Or copy the skill folder (review-checker/amazon-review-checker in nexscope-ai/eCommerce-Skills) into .claude/skills/amazon-review-checker in your project. Claude Code loads it when a task matches its description.
Run `npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -a codex`. Or copy the skill folder (review-checker/amazon-review-checker in nexscope-ai/eCommerce-Skills) into .agents/skills/amazon-review-checker in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nexscope-ai/eCommerce-Skills --skill amazon-review-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/amazon-review-checker, .gemini/skills/amazon-review-checker, .github/skills/amazon-review-checker and .opencode/skills/amazon-review-checker in your project.
Going by SKILL.md and its folder, Amazon Review Checker needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and npx). Our summary lists: Python 3; Node.js.
SKILL.md names 1 domain. As links in the text: nexscope.ai. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Amazon Review Checker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 869 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Amazon Review Checker: Detecting Anomalous Authentication Patterns (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Detecting Suspicious Powershell Execution (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Detecting Suspicious OAuth Application Consent (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Agent Authentication (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
nexscope-ai (a GitHub organization) maintains it in nexscope-ai/eCommerce-Skills, which has 1,109 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on August 26, 2026.
Source: nexscope-ai/eCommerce-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
