Skip to content
TrustedSkillsbeta
Back to all skills

Model Detection

Checked
bejranonda·vlatest·ai-ml

Identifies underlying language models powering text generation, providing insights into source and potential biases.

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 bejranonda/llm-autonomous-agent-plugin-for-claude --skill model-detection -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

bejranonda

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 bejranonda/llm-autonomous-agent-plugin-for-claude at d7c47f644e.

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

Commit
d7c47f644e
Manifest
skills/model-detection/SKILL.md
Scanned
1 file, 262 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 model-detection skill allows an AI agent to identify the underlying language model powering a given text or response. It can determine if a piece of text was generated by GPT-3, Claude, Gemini, or other models. This capability is useful for understanding biases and limitations inherent in different models.

When to use it

  • Bias Analysis: Determine if a generated response might be influenced by the training data of a specific model.
  • Source Attribution: Identify which language model was used to create a particular piece of content.
  • Model Comparison: Evaluate the characteristics and strengths/weaknesses of different models based on their output.
  • Content Verification: Assess the authenticity or origin of text by identifying its likely generative source.

Key capabilities

  • Language Model Identification
  • Text Analysis
  • Response Attribution

Example prompts

  • "Can you tell me what model generated this text: '[insert text here]'"
  • "Analyze this response and identify the language model used to create it."
  • "Determine if this content was likely produced by GPT-3 or Claude."

Tips & gotchas

The accuracy of model detection can vary depending on the complexity and length of the input text. It's best suited for analyzing relatively short, self-contained responses rather than large documents.