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Comment Analyzer

Checked
troykelly·vlatest·marketing

Analyzes comments for sentiment, keywords, and themes to understand audience reactions and improve content strategy.

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 troykelly/codex-skills --skill comment-analyzer -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

troykelly

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 troykelly/codex-skills at d8fb3968e4.

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

Commit
d8fb3968e4
Manifest
skills/comment-analyzer/SKILL.md
Scanned
1 file, 20 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

What it does

The troykelly-comment-analyzer skill analyzes text comments and provides insights. It can determine sentiment (positive, negative, or neutral) and identify key topics discussed within a comment. This allows for automated summarization and understanding of large volumes of user feedback or online discussions.

When to use it

  • Analyzing customer reviews: Quickly gauge overall satisfaction with a product or service by analyzing the sentiment expressed in reviews.
  • Monitoring social media: Track public opinion about a brand or topic by assessing the sentiment of comments on social media platforms.
  • Summarizing forum discussions: Extract key themes and sentiments from lengthy online forum threads.
  • Content moderation: Identify potentially harmful or inappropriate content based on negative sentiment or flagged topics.

Key capabilities

  • Sentiment analysis (positive, negative, neutral)
  • Topic identification within comments

Example prompts

  • "Analyze the sentiment of this comment: 'This product is amazing! I love it.'"
  • "What are the key topics discussed in this customer review?"
  • "Determine the overall sentiment expressed in these forum posts."

Tips & gotchas

The accuracy of topic identification may depend on the clarity and specificity of the comments provided. Consider providing context or background information to improve analysis results.