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Vet

Checked
imbue-ai·vlatest·other·AGPL-3.0

The Vet skill analyzes text for factual accuracy and potential biases, ensuring reliable information and reducing misinformation risks.

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 imbue-ai/vet --skill vet -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

imbue-ai

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 imbue-ai/vet at 59757aec70.

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

Commit
59757aec70
Manifest
skills/vet/SKILL.md
Scanned
5 files, 584 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

The vet skill provides a mechanism for evaluating and assessing the quality of text generated by AI agents. It can analyze text based on criteria such as factual accuracy, clarity, and relevance to a given prompt. The skill aims to improve the reliability and trustworthiness of AI-generated content through automated evaluation.

When to use it

  • Content Quality Assurance: Before publishing articles or reports drafted by an AI agent, use vet to ensure accuracy and readability.
  • Prompt Refinement: Evaluate responses from an AI agent to identify areas where the prompt needs adjustment for better results.
  • Training Data Validation: Assess the quality of text used to train AI models, identifying potential biases or inaccuracies.
  • Automated Feedback Loops: Integrate vet into a workflow to automatically provide feedback to AI agents on their generated outputs.

Key capabilities

  • Text evaluation based on defined criteria.
  • Factual accuracy assessment.
  • Clarity and readability analysis.
  • Relevance scoring relative to the input prompt.

Example prompts

  • "Vet this paragraph for factual errors: [paragraph text]"
  • "Assess the clarity of this response: [AI agent's response]"
  • "How relevant is this summary to the original article? [summary text] - Original Article: [article text]"

Tips & gotchas

The effectiveness of vet depends on clearly defining the evaluation criteria. Providing detailed instructions or a rubric will improve the quality of the assessment.