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Brand Monitor

Checked
openclaudia·vlatest·marketing·MIT

Tracks brand mentions across web & social media, alerting users to potential PR issues or opportunities.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add openclaudia/openclaudia-skills --skill brand-monitor -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

openclaudia

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned openclaudia/openclaudia-skills at 28bf209f39.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
28bf209f39
Manifest
skills/brand-monitor/SKILL.md
Scanned
1 file, 313 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

brand-monitor

What it does

The brand-monitor skill enables AI agents to actively track and analyze specific brand mentions across digital channels. It provides real-time insights into public sentiment, allowing agents to detect emerging trends or potential reputation issues related to a designated entity.

When to use it

  • Crisis Management: Immediately alerting teams when negative sentiment spikes regarding a product launch.
  • Competitive Analysis: Comparing brand perception against key rivals in the same market sector.
  • Campaign Optimization: Measuring public reaction to marketing initiatives as they unfold in real-time.
  • Reputation Maintenance: Continuously scanning for misinformation or unaddressed customer complaints.

Key capabilities

  • Real-time monitoring of brand mentions across web and social platforms.
  • Sentiment analysis to gauge positive, neutral, or negative public perception.
  • Automated detection of significant shifts in conversation volume or tone.
  • Integration with frontend workflows to trigger immediate agent responses.

Example prompts

  • "Start monitoring 'TechNova' for any mentions of customer service delays and summarize the sentiment every hour."
  • "Alert me if 'GreenLife Energy' receives more than 5 negative comments within a single hour on social media."
  • "Compare the current brand sentiment of 'AlphaWidgets' against its top three competitors and highlight the biggest differentiator."

Tips & gotchas

Ensure you define clear, specific brand names to avoid false positives from similarly named entities. For best results, pair this skill with other monitoring tools that can execute remediation actions once negative thresholds are met.