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Eval Conversation Flow

Checked
whitespectre·vlatest·ai-ml

Evaluates conversational flows for quality & efficiency, identifying potential issues and suggesting improvements to optimize interactions.

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-conversation-flow -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-conversation-flow/SKILL.md
Scanned
2 files, 63 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 flow of a conversation between an AI agent and a user. It analyzes the interaction to identify potential issues like abrupt topic changes, repetitive responses, or failure to address user needs effectively. The evaluation provides insights into how well the agent guides the conversation towards a successful outcome.

When to use it

  • Debugging conversational agents: Identify why users are abandoning conversations or expressing frustration.
  • Improving onboarding flows: Assess if new users are successfully guided through initial setup and understanding of the AI's capabilities.
  • Analyzing sales interactions: Determine if the agent effectively moves potential customers through the sales process.
  • Testing dialogue changes: Validate that modifications to a conversation flow don’t introduce unexpected issues or regressions.

Key capabilities

  • Conversation Flow Analysis
  • Issue Identification (e.g., abrupt topic shifts, repetition)
  • User Need Assessment
  • Outcome Evaluation

Example prompts

  • "Evaluate this conversation transcript and tell me if the agent kept the user on track."
  • "Analyze this dialogue for any points where the user seemed confused or frustrated."
  • "Can you assess how well this interaction achieved its intended goal?"

Tips & gotchas

The skill requires a full transcript of the conversation to be effective. The quality of the evaluation depends heavily on the clarity and completeness of the provided text.