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 brand-monitoringgit 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/brand-monitoring)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/brand-monitoring"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/brand-monitoring/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/brand-monitoring"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/brand-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- 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 16 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 | $0.00054 | $0.00888 |
| Opus 5 | $0.00027 | $0.00444 |
| Sonnet 5 | $0.00011 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
brand-monitoring 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 13d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Monitoring 📡
Track brand mentions across social media platforms and analyze sentiment.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill brand-monitoring -g
Features
- Mention Monitoring — Track brand mentions across platforms
- Sentiment Analysis — Positive/negative/neutral classification
- Trend Tracking — Monitor mention volume changes
- Crisis Detection — Alerts for negative spikes or crisis keywords
- Competitor Comparison — Share of voice analysis
- Keyword Extraction — Identify trending topics
- Report Generation — Weekly/monthly reports
Supported Platforms
| Platform | Method | Stability |
|---|---|---|
| Public JSON API | ⚠️ Rate limited | |
| Google News | RSS Feed | ✅ Stable |
| DuckDuckGo | Instant Answer API | ✅ Stable |
| YouTube | HTML/RSS | ⚠️ Unstable |
Analysis Dimensions
| Dimension | Method | Output |
|---|---|---|
| Volume | Mention count | Trend graph |
| Sentiment | NLP analysis | Sentiment score |
| Sources | Platform breakdown | Source distribution |
| Keywords | Topic extraction | Word cloud |
| Competitors | Share of voice | Comparison chart |
Usage
Basic Monitoring
python3 scripts/monitor.py "YourBrand"
With Competitors
python3 scripts/monitor.py '{
"brand": "YourBrand",
"competitors": ["CompA", "CompB"],
"platforms": ["reddit", "google_news"]
}'
Demo Mode
python3 scripts/monitor.py --demo
Output Example
📡 Brand Monitoring Report
Brand: YourBrand
Period: Last 7 days
Platforms: Reddit, Google News, YouTube
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 MENTION OVERVIEW
Total Mentions: 127
├── Reddit: 82 (65%)
├── Google News: 35 (28%)
└── YouTube: 10 (8%)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
😊 SENTIMENT ANALYSIS
Positive: 45% ████████░░
Neutral: 38% ███████░░░
Negative: 17% ███░░░░░░░
Overall Score: 7.2/10 ✅
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📈 TREND (7 days)
Mon ████████ 25
Tue ██████ 18
Wed ███████ 21
Thu █████████ 28
Fri ████████ 22
Sat ███ 8
Sun ██ 5
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔥 TRENDING KEYWORDS
1. quality (32x)
2. shipping (28x)
3. customer service (22x)
4. price (18x)
5. recommended (15x)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ ALERTS
🔴 Negative spike on Thursday (+40%)
Related to: shipping delays
Recommendation: Monitor and respond
What ships with it
2 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.
- 13d ago First seen · 158 lines · 54 tokens per session scan A 8143cd6d7f48
brand-monitoring is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It adds 54 tokens to every session and 888 once invoked, about $0.0003 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 2026-08-30.
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