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Promptfoo Evaluation

Checked
daymade·vlatest·other·MIT

Promptfoo Evaluation assesses prompts for quality, clarity, and effectiveness, helping users refine their instructions for better AI responses.

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 daymade/claude-code-skills --skill promptfoo-evaluation -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

daymade

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 daymade/claude-code-skills at 1327636852.

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

Commit
1327636852
Manifest
promptfoo-evaluation/SKILL.md
Scanned
3 files, 788 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 integrates Promptfoo to automatically evaluate AI code generation outputs against defined test cases. It validates responses for correctness, security, and adherence to specific constraints before deployment.

When to use it

  • Before committing code generated by an agent to ensure it passes functional requirements.
  • To detect hallucinations or logic errors in complex algorithms immediately after generation.
  • When enforcing strict security policies, such as preventing hardcoded secrets or SQL injection patterns.
  • During iterative development cycles to maintain consistent quality standards across multiple agent runs.

Key capabilities

  • Executes automated test suites against AI-generated code snippets.
  • Provides pass/fail metrics based on custom evaluation criteria.
  • Supports various assertion types including unit tests, regex matching, and semantic similarity.
  • Generates detailed reports highlighting specific failures in the output.

Example prompts

"Generate a Python function to sort a list of integers and run it through promptfoo-evaluation with standard sorting test cases." "Evaluate this JavaScript API response handler for security vulnerabilities using promptfoo-evaluation before I integrate it into production." "Create a SQL query to fetch user data and validate the output against a set of schema constraints using promptfoo-evaluation."

Tips & gotchas

Ensure your test cases cover edge scenarios, as generic prompts may yield false positives. The skill requires a pre-configured Promptfoo environment with valid test definitions to function correctly.