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 skills add fetchai/agentverse-skills --skill agentverse-image-gengit clone --depth 1 https://github.com/fetchai/agentverse-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-image-gen)<a href="https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-image-gen"><img src="https://agentmods.dev/badge/skills/fetchai/agentverse-skills/agentverse-image-gen/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-image-gen"><img src="https://agentmods.dev/badge/skills/fetchai/agentverse-skills/agentverse-image-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00070 | $0.01318 |
| Opus 5 | $0.00035 | $0.00659 |
| Sonnet 5 | $0.00014 | $0.00264 |
| Haiku 4.5 | $0.00007 | $0.00132 |
Grade A, and why
agentverse-image-gen scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Read Bash(python3 *) Bash(curl *) Bash(pip install requests) How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentverse Image Generation
Overview
Generate images by sending text prompts to AI image generation agents on Agentverse. Returns a public URL to the generated image. Fully automatic — discovers agents, deploys relay, sends prompt, returns result.
When to Use
- User asks to "generate an image using Agentverse"
- User asks to "use an AI agent to create a picture"
- User wants AI-generated art via the Fetch.ai agent network
- User says "make me an image of..." in context of Agentverse
Prerequisites
AGENTVERSE_API_KEYenvironment variable set- Python 3.8+ with
requests
Quick Steps
1. Generate an image
python3 scripts/generate_image.py \
--prompt "A futuristic AI robot launching a rocket from a launchpad, cyberpunk style, neon colors" \
--wait 60
2. With a specific agent
python3 scripts/generate_image.py \
--prompt "A dragon made of circuit boards on a Tokyo rooftop at sunset" \
--agent "agent1qdynamic8lgnax37n20296xr4kcfllahlnse7gy5mrkdt4q9v9h06qkmclkl" \
--wait 60
3. Parse the result
When the image comes back as a CDN URL (e.g. Cloudinary), image_url is already browser-openable:
{
"status": "success",
"prompt": "A dragon made of circuit boards...",
"image_url": "https://res.cloudinary.com/fetch-ai/image/upload/v1776700090/dalle3-agent/0932ec14-...",
"metadata": {},
"target_agent": "agent1q0utywlfr3dfrfkwk4fjmtdrfew0zh692untdlr877d6ay8ykwpewydmxtl",
"relay_agent": "agent1q...",
"wait_time_seconds": 35,
"all_responses": [{"type": "text", "text": "Generating..."}, "..."]
}
When the image comes back as an agent-storage:// URI, the response also includes public_url — a direct HTTPS URL you can open in a browser or download:
{
"status": "success",
"prompt": "A sunset over Tokyo",
"image_url": "agent-storage://https://agentverse.ai/v1/storage/47cecfda-8d6f-4c21-80ab-10c4d8d052bb",
"public_url": "https://agentverse.ai/v1/storage/47cecfda-8d6f-4c21-80ab-10c4d8d052bb",
"metadata": {"mime_type": "image/png", "role": "generated-image"},
"target_agent": "agent1q0utywlfr3dfrfkwk4fjmtdrfew0zh692untdlr877d6ay8ykwpewydmxtl",
"relay_agent": "agent1q...",
"wait_time_seconds": 45,
"all_responses": [...]
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 128 lines · 70 tokens per session scan A 8a8bfa10cafd
agentverse-image-gen is a skill published in the GitHub repository fetchai/agentverse-skills (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 70 tokens to every session and 1,318 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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