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Agent Review

Listed
civitai·vlatest·agents·Apache-2.0

Analyzes CivitAI model descriptions & images to identify potential issues like bias, safety concerns, or inaccurate tagging.

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 civitai/civitai --skill agent-review --full-depth -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

civitai

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: civitai.com.

    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.

    Hosts contacted

    openrouter.aimodel providercivitai.comundeclared

    What it found

    • apps/event-engine/.claude/skills/agent-review/query.mjs:320contacts civitai.com
      'HTTP-Referer': 'https://civitai.com',

  • 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 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 civitai/civitai at d61bf2b9ec.

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

Commit
d61bf2b9ec
Manifest
apps/event-engine/.claude/skills/agent-review/SKILL.md
Scanned
2 files, 614 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 enables AI agents to discover and install new capabilities directly from the Civitai registry. It streamlines the expansion of an agent's toolkit by allowing dynamic retrieval and deployment of community-contributed skills without manual configuration.

When to use it

  • You need to quickly equip an agent with specialized functions available on the Civitai platform.
  • Your workflow requires updating agent capabilities with the latest community tools or models.
  • You want to automate the process of finding and integrating new AI utilities into your existing system.
  • You are building a flexible agent architecture that relies on external skill repositories for extensibility.

Key capabilities

  • Discovery of available skills within the Civitai ecosystem.
  • Direct installation of identified skills into the active agent environment.
  • Integration with the civitai/civitai repository to access verified tools.

Example prompts

  • "Find and install a skill for image generation from the Civitai registry."
  • "Discover available analysis tools and add the most relevant one to my current setup."
  • "Install the latest data processing skill you find on Civitai to help me clean this dataset."

Tips & gotchas

Ensure your agent has network access to reach the external Civitai registry, as the skill relies on live discovery. Verify that installed skills are compatible with your specific agent framework before relying on them for critical tasks.