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Prompt Testing

Checked
fusengine·vlatest·testing·MIT

Fusengine's prompt-testing automatically evaluates LLM responses against defined criteria to ensure accuracy and desired behavior.

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 fusengine/agents --skill prompt-testing -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

fusengine

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 fusengine/agents at 980930ea9c.

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

Commit
980930ea9c
Manifest
plugins/prompt-engineer/skills/prompt-testing/SKILL.md
Scanned
4 files, 637 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 allows you to test prompts given to AI agents. It evaluates agent responses against expected outputs and provides feedback on their quality. The tool helps identify weaknesses in prompt design and improve the overall performance of AI agents by ensuring they consistently deliver accurate and relevant results.

When to use it

  • Evaluating new prompts: Before deploying a new prompt, test its effectiveness across various inputs to ensure consistent and desired outputs.
  • Debugging agent behavior: If an agent is producing unexpected or incorrect responses, use this skill to pinpoint issues with the underlying prompt.
  • Improving existing prompts: Regularly assess the performance of current prompts and refine them based on testing feedback.
  • Ensuring quality control: Implement automated prompt testing as part of your AI development workflow to maintain a high standard of agent performance.

Key capabilities

  • Prompt evaluation against expected outputs
  • Feedback generation for prompt improvement
  • Automated testing workflows

Example prompts

  • "Test the following prompt: 'Summarize this article:' and compare the output to [expected summary]."
  • "Evaluate the prompt 'Translate this sentence into French:' with input '[sentence]' against a known correct translation."
  • "Run a series of tests on the prompt 'Write a short story about...' using different creative prompts as inputs."

Tips & gotchas

To get the most out of this skill, ensure you have clearly defined expected outputs for comparison. The quality of testing heavily relies on accurate and comprehensive test cases.