Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add nexscope-ai/eCommerce-Skills --skill ebay-review-checkergit clone --depth 1 https://github.com/nexscope-ai/eCommerce-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/ebay-review-checker)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/ebay-review-checker"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ebay-review-checker/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/ebay-review-checker"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/ebay-review-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 15 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.00575 |
| Opus 5 | $0.00024 | $0.00287 |
| Sonnet 5 | $0.00010 | $0.00115 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
ebay-review-checker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
eBay Review Checker 🔍
Review and feedback authenticity analyzer for eBay — detect fake reviews, suspicious patterns, and feedback manipulation.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill ebay-review-checker -g
Features
- Seller Feedback Analysis — Analyze seller feedback authenticity
- Buyer Feedback Patterns — Detect suspicious buyer behavior
- eBay-specific Red Flags — Platform-specific warning signs
- Progressive Analysis — More data = deeper insights
eBay-Specific Detection
| Signal | Description |
|---|---|
| Feedback timing | Clustered feedback in short periods |
| Generic comments | "A+++" or "Great seller" patterns |
| Account age | New accounts leaving multiple feedbacks |
| Transaction patterns | Unusual buying/selling patterns |
Risk Levels
| Score | Level | Description |
|---|---|---|
| 70-100 | ✅ Low Risk | Feedback appears authentic |
| 50-69 | ⚠️ Medium Risk | Some concerns found |
| 30-49 | 🔴 High Risk | Multiple red flags |
| 0-29 | 💀 Critical | Likely manipulated feedback |
Usage
Paste Feedback
Check this seller feedback:
Positive - Great seller, fast shipping! A+++
Positive - Excellent transaction, thank you!
Positive - Perfect! Would buy again.
Negative - Item never arrived.
JSON Input
python3 scripts/analyzer.py '[
{"content": "A+++ seller!", "rating": "positive", "date": "2024-01-15"},
{"content": "Fast shipping", "rating": "positive", "date": "2024-01-15"}
]'
Output Example
📊 eBay Feedback Authenticity Report
Seller: example_seller
Feedback Count: 50
Analysis Level: L3
━━━━━━━━━━━━━━━━━━━━━━━━
Authenticity Score: 72/100 ✅
Low Risk - Feedback appears authentic.
━━━━━━━━━━━━━━━━━━━━━━━━
Detection Results
✅ Time Clustering: Normal
⚠️ Generic Comments: 15% (slightly high)
✅ Account Diversity: Good
Part of Nexscope AI — AI tools for e-commerce sellers.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 92 lines · 49 tokens per session scan A a046a86f9630
ebay-review-checker is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It adds 49 tokens to every session and 575 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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