Agent skill

Brand Monitoring

by nexscope-ai in nexscope-ai/eCommerce-Skills

Brand monitoring tool for tracking mentions across social media platforms.

MITAuto-check passedSales & Support

Install Brand Monitoring

skills CLI
$ npx skills add nexscope-ai/eCommerce-Skills --skill brand-monitoring -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nexscope-ai/eCommerce-Skills brand-monitoring --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/brand-monitoring .claude/skills/brand-monitoring && rm -rf skills-src

Use ~/.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/

Facts

Skill name
brand-monitoring
GitHub stars
1.1k
Token cost
~851 tokens
SKILL.md length
152 words
Files
3 (incl. scripts)
Skills in repo
114
Repo updated
First seen
Licence
MIT

At a glance

Brand monitoring tool for tracking mentions across social media platforms.

  • Tasks that involve Customer feedback analysis
  • SKILL.md covers Installation, Features, Supported Platforms and Analysis Dimensions, plus 4 more sections
  • Runs Python scripts from its folder; calls python3 and npx

What it does

Brand Monitoring is an agent skill from nexscope-ai/eCommerce-Skills. Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes sentiment analysis, trend tracking, crisis detection, and competitor comparison. No API key required for basic monitoring.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/monitor.py` and `scripts/scrapers.py`).

It sits in Sales & Support, covering Customer feedback analysis. It works with Reddit and YouTube. 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.

When your agent uses it

  • Tasks that involve Customer feedback analysis

Example prompts

  • “/brand-monitoring”

Requirements

  • Python 3
  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit ee0fb29. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • nexscope.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Brand Monitoring loads about 851 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 152 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~851

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from nexscope-ai/eCommerce-Skills at commit ee0fb29, republished under its MIT licence (© nexscope-ai). 152 words, ~851 tokens.

Download SKILL.mdSave it as .claude/skills/brand-monitoring/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
brand-monitoring
description
Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes sentiment analysis, trend tracking, crisis detection, and competitor comparison. No API key required for basic monitoring.
version
1.0.0
author
Nexscope AI

Brand Monitoring 📡

Track brand mentions across social media platforms and analyze sentiment.

Installation

bash
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

PlatformMethodStability
RedditPublic JSON API⚠️ Rate limited
Google NewsRSS Feed✅ Stable
DuckDuckGoInstant Answer API✅ Stable
YouTubeHTML/RSS⚠️ Unstable

Analysis Dimensions

DimensionMethodOutput
VolumeMention countTrend graph
SentimentNLP analysisSentiment score
SourcesPlatform breakdownSource distribution
KeywordsTopic extractionWord cloud
CompetitorsShare of voiceComparison chart

Usage

Basic Monitoring
bash
python3 scripts/monitor.py "YourBrand"
With Competitors
bash
python3 scripts/monitor.py '{
  "brand": "YourBrand",
  "competitors": ["CompA", "CompB"],
  "platforms": ["reddit", "google_news"]
}'
Demo Mode
bash
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

Crisis Detection

Alert LevelTriggerAction
🟢 Normal< 20% negativeContinue monitoring
🟡 Warning20-40% negativeInvestigate sources
🔴 Crisis> 40% negativeImmediate response needed

Monitoring Workflow

Set up brand keywords
      ↓
Monitor platforms
      ↓
Analyze sentiment
      ↓
Detect anomalies
      ↓
Generate alerts
      ↓
Weekly report

Part 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

Files

SKILL.md and 2 other files (scripts) in brand-monitoring of nexscope-ai/eCommerce-Skills.

  • SKILL.md
  • scripts/monitor.py
  • scripts/scrapers.py

Open the folder on GitHubat commit ee0fb29

Compare with similar skills

Brand Monitoring 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.

Brand Monitoring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Brand Monitoring this skillnexscope-ai/eCommerce-Skills1.1k—~851Automated safety check: PassMIT
Morphe Faq And App NotesParesh-Maheshwari/morphe-ai178—~573Automated safety check: PassGPL-3.0
Replica EntrepreneurJakeschincariol/replica-skill1.4k—~1.2kAutomated safety check: PassMIT
Customer ResearchNexus-JPF/note-companion8706 repos~3.2kAutomated safety check: PassMIT
Reddit Insightslignertys/reddit-research-skills14—~2.2kAutomated safety check: WarnMIT
Sentiment Analysisagiprolabs/claude-trading-skills410—~2.4kAutomated safety check: PassMIT

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Works with

Categories

Questions about Brand Monitoring

What does Brand Monitoring do?

Brand monitoring tool for tracking mentions across social media platforms. Brand Monitoring is an agent skill from nexscope-ai/eCommerce-Skills. Brand monitoring tool for tracking mentions across social media platforms.

When should I use Brand Monitoring?

Brand Monitoring fits situations like: tasks that involve Customer feedback analysis.

How do I install Brand Monitoring in Claude Code?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill brand-monitoring -a claude-code`. Or copy the skill folder (brand-monitoring in nexscope-ai/eCommerce-Skills) into .claude/skills/brand-monitoring in your project. Claude Code loads it when a task matches its description.

How do I install Brand Monitoring in Codex?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill brand-monitoring -a codex`. Or copy the skill folder (brand-monitoring in nexscope-ai/eCommerce-Skills) into .agents/skills/brand-monitoring in your project. Codex loads it when a task matches its description.

Can I use Brand Monitoring in Cursor, Gemini CLI or GitHub Copilot?

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 brand-monitoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/brand-monitoring, .gemini/skills/brand-monitoring, .github/skills/brand-monitoring and .opencode/skills/brand-monitoring in your project.

What does Brand Monitoring need to run?

Going by SKILL.md and its folder, Brand Monitoring 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.

Does Brand Monitoring access the network?

SKILL.md names 1 domain. As links in the text: nexscope.ai. This is read from the text; nothing was executed.

Is Brand Monitoring safe to install?

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.

What licence does Brand Monitoring use?

Brand Monitoring is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Brand Monitoring use?

About 851 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Brand Monitoring?

Skills that share tags, products or a category with Brand Monitoring: Morphe Faq And App Notes (Paresh-Maheshwari/morphe-ai, 178 stars), Replica Entrepreneur (Jakeschincariol/replica-skill, 1.4k stars), Customer Research (Nexus-JPF/note-companion, 870 stars) and Reddit Insights (lignertys/reddit-research-skills, 14 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Brand Monitoring?

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.