Visual Gen Ai Language

Maximum control over AI image generation — write structured VGL (Visual Generation Language) JSON that explicitly controls every visual attribute. Define exa...

This skill appears to be a translator that outputs structured JSON for image generation and does not itself request credentials or install code — that part is coherent. The main red flag is an inconsistent JSON schema: the referenced schema marks many human-specific properties as universally required, while the SKILL.md describes them as conditional. That inconsistency can cause validation failures or force the generator to invent irrelevant values. Before installing/using: 1) test the skill with simple prompts to see the exact JSON it emits; 2) if you plan to execute generated VGL JSON via the bria-ai (or any) execution skill, ensure that execution skill requires and stores API credentials separately and review its permissions; 3) ask the author or maintainer to clarify/fix the schema requirements (make human-only fields optional) to avoid accidental inclusion of sensitive personal attributes; and 4) avoid sending real-person-identifying images or private data through the skill without verifying the downstream execution environment and privacy controls.

Type: OpenClaw Skill Name: vgl Version: 1.2.1 The OpenClaw AgentSkills skill bundle is designed to generate structured JSON (VGL) for image generation. The `SKILL.md` file provides detailed instructions for the AI agent on how to construct this JSON, including schema, rules, and examples. There are no instructions that attempt prompt injection to subvert the agent's purpose, nor any code snippets or commands indicating data exfiltration, malicious execution, persistence, or unauthorized network activity. The `curl` example demonstrates how a user would interact with an external API using the agent's output, which is a standard and benign use case.