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Ai Analyzer

Checked
huifer·vlatest·writing·MIT

Analyzes text data to identify sentiment, topics, entities, and relationships using advanced natural language processing techniques.

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 huifer/wellally-health --skill ai-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

huifer

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 huifer/wellally-health at f604350c84.

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

Commit
f604350c84
Manifest
skills/ai-analyzer/SKILL.md
Scanned
2 files, 426 lines
Copies in repo
2 — all of them scanned
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 ai-analyzer skill provides capabilities for analyzing AI agent outputs. It can identify potential issues and suggest improvements to enhance performance and reliability. This includes detecting biases, inaccuracies, or inconsistencies in generated content. The tool aims to improve the quality of AI agent interactions through detailed analysis.

When to use it

  • Reviewing chatbot responses: Analyze a chatbot's conversation history for tone, accuracy, and adherence to brand guidelines.
  • Evaluating code generation: Assess code produced by an AI coding assistant for potential errors or inefficiencies.
  • Analyzing content creation drafts: Examine marketing copy or blog post drafts generated by an AI writing tool for factual correctness and clarity.
  • Debugging agent behavior: Investigate unexpected actions or outputs from a complex AI agent to pinpoint the root cause of issues.

Key capabilities

  • Output analysis
  • Bias detection
  • Accuracy assessment
  • Consistency checking
  • Performance improvement suggestions

Example prompts

  • "Analyze this chatbot conversation and identify any instances where the tone is unprofessional."
  • "Evaluate this Python code for potential security vulnerabilities."
  • "Assess this draft blog post for factual inaccuracies and suggest improvements to clarity."

Tips & gotchas

The effectiveness of ai-analyzer depends on the quality and context provided in the input. Ensure that you provide sufficient data for accurate analysis, particularly when assessing complex AI agent behaviors.