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Comment Analyzer

Checked
paulkinlan·vlatest·marketing·Apache-2.0

This tool analyzes comments to identify sentiment and key themes, providing valuable insights for understanding audience reactions and improving communication.

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 paulkinlan/co-do --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

paulkinlan

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 paulkinlan/co-do at d3ebdbd506.

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

Commit
d3ebdbd506
Manifest
.claude/skills/comment-analyzer/SKILL.md
Scanned
1 file, 95 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 paulkinlan-comment-analyzer skill analyzes text comments to determine their sentiment and extract key topics. It can identify whether a comment is positive, negative, or neutral, and provide a summary of the main subjects discussed within the comment. This allows for quick understanding of large volumes of user feedback or discussion threads.

When to use it

  • Analyzing customer reviews: Quickly gauge overall sentiment towards a product or service from online reviews.
  • Monitoring social media discussions: Understand public opinion and identify trending topics related to a brand or event.
  • Summarizing forum posts: Efficiently process lengthy discussion threads by extracting key themes and sentiments.
  • Filtering feedback: Automatically categorize comments based on sentiment for prioritization or routing.

Key capabilities

  • Sentiment analysis (positive, negative, neutral)
  • Topic extraction
  • Comment summarization

Example prompts

  • "Analyze the sentiment of this comment: 'This product is amazing! I love how easy it is to use.'"
  • "What are the main topics discussed in this customer review?"
  • "Summarize these comments about our new feature."

Tips & gotchas

The accuracy of topic extraction may vary depending on the complexity and clarity of the input comment. Providing clear, well-written comments will yield better results.