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Eval Tone Empathy

Checked
whitespectre·vlatest·ai-ml

Analyzes text to assess emotional tone and empathy levels, providing insights for improved communication and understanding.

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 whitespectre/ai-assistant-evals --skill eval-tone-empathy -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

whitespectre

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 whitespectre/ai-assistant-evals at 8d48470982.

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

Commit
8d48470982
Manifest
skills/eval-tone-empathy/SKILL.md
Scanned
2 files, 62 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 evaluates the tone and empathy expressed in AI agent responses. It analyzes text to determine if the response is appropriately sensitive, understanding, and supportive based on the prompt's context. The evaluation focuses on identifying whether the agent demonstrates genuine concern or simply uses empathetic language superficially.

When to use it

  • Customer service scenarios: Assess how well an agent responds to frustrated or upset customers.
  • Mental health support bots: Evaluate if responses are appropriately comforting and non-judgmental.
  • Educational tutoring systems: Determine if the agent's explanations are delivered with patience and understanding.
  • Personalized assistant interactions: Gauge whether the agent’s tone aligns with user preferences for warmth and connection.

Key capabilities

  • Tone analysis
  • Empathy detection
  • Contextual evaluation of responses
  • Identification of superficial empathy

Example prompts

  • "Evaluate this response: 'I understand you're frustrated, but our policy is...' "
  • "Assess the tone and level of empathy in this conversation excerpt."
  • "Is this agent demonstrating genuine concern or just using empathetic language?"

Tips & gotchas

The skill’s accuracy depends on clear prompts that provide sufficient context for evaluating the response. Be mindful that nuanced emotional understanding can be challenging, so results should always be reviewed by a human evaluator.