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Customer Feedback Analyzer

Checked
daffy0208·vlatest·other·MIT

Analyzes customer feedback to identify key themes and sentiment, helping businesses understand customer opinions and improve products/services.

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 daffy0208/ai-dev-standards --skill customer-feedback-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

daffy0208

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 daffy0208/ai-dev-standards at 32c3241e48.

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

Commit
32c3241e48
Manifest
skills/customer-feedback-analyzer/SKILL.md
Scanned
2 files, 476 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

This skill enables AI agents to automatically discover, install, and manage customer feedback analysis tools within their operational environment. It streamlines the integration of sentiment analysis and review processing capabilities directly into agent workflows.

When to use it

  • You need to rapidly deploy feedback analysis features without manual configuration.
  • Your AI agent requires real-time access to customer sentiment data for decision-making.
  • You are building a support system that must ingest and categorize incoming user reviews automatically.
  • You want to standardize how different agents handle feedback across your organization.

Key capabilities

  • Automated discovery of relevant feedback analysis tools from the registry.
  • One-click installation of analysis modules into agent environments.
  • Management of tool versions and dependencies for feedback processors.
  • Integration of third-party sentiment engines into agent logic.

Example prompts

  • "Install a customer feedback analyzer to process our latest survey results."
  • "Configure an agent to use the installed feedback tool for real-time sentiment monitoring."
  • "Update the feedback analysis module to support new review platforms."

Tips & gotchas

Ensure your AI agent has network access to the TrustedSkills registry and permission to install external modules. Verify that the installed analyzer supports the specific data formats (e.g., CSV, JSON) of your existing feedback sources before deployment.