Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/wiseaidotdev/autogpt/designer-gptgit clone --depth 1 https://github.com/wiseaidotdev/autogptWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00446 |
| Opus 5 | $0.00000 | $0.00223 |
| Sonnet 5 | $0.00000 | $0.00089 |
| Haiku 4.5 | $0.00000 | $0.00045 |
Grade A, and why
designer-gpt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
DesignerGPT
Feature: img CLI: autogpt design
DesignerGPT generates visual UI mockups and design assets using an AI image generation API (GetImg). It transforms a textual interface description into a rendered image that can be used as a design reference for frontend development.
What DesignerGPT Solves
Getting sign-off on UI layout before any code is written saves significant rework. DesignerGPT generates visual mockups from natural language descriptions in seconds, enabling rapid design iteration without a designer in the loop.
Enabling DesignerGPT
DesignerGPT requires the img feature flag and the GETIMG_API_KEY environment variable:
cargo install autogpt --features img,cli
export GETIMG_API_KEY=<your_getimg_api_key>
Obtain your API key from the GetImg Dashboard.
CLI Usage
autogpt design
Describe the UI you want to generate when prompted:
> A dark-themed dashboard with a sidebar navigation, metrics cards, and a chart area
SDK Usage
use autogpt::prelude::*;
#[tokio::main]
async fn main() {
let persona = "Senior UI/UX Designer";
let behavior = "Design a modern dark-themed analytics dashboard with sidebar navigation.";
let agent = DesignerGPT::new(persona, behavior).await;
AutoGPT::default()
.with(agents![agent])
.build()
.expect("Failed to build AutoGPT")
.run()
.await
.unwrap();
}
Output
Generated image files land in:
workspace/designer/
└── design_<timestamp>.png
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 70 lines · 0 tokens per session scan A 5e65c3e65f4d
designer-gpt is an agent published in the GitHub repository wiseaidotdev/autogpt (115 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 446 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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