agentverse-deploy

agentverse-deploy is a skill for Claude Code from fetchai/agentverse-skills. It costs 65 tokens per session (938 once invoked), scanned A, original, Apache-2.0.

A deployment tool for hosting Python code as an agent on Fetch.ai’s Agentverse, a service that runs agents on Fetch.ai’s infrastructure. It creates the hosted agent, uploads the code, and can start it.

In plain words
What is it for?
Use it to publish Python agent code, start it after deployment, and receive its name, address, and running status.
Why use it?
It removes the manual work of creating the hosted agent and preparing the code upload. Your own server is not needed for the hosted run.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Install

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.

agentmods
npx agentmods add skills/fetchai/agentverse-skills/agentverse-deploy
Any agent
npx skills add fetchai/agentverse-skills --skill agentverse-deploy
Clone the repo
git clone --depth 1 https://github.com/fetchai/agentverse-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for agentverse-deploy

README.md
[![agentmods](https://agentmods.dev/badge/skills/fetchai/agentverse-skills/agentverse-deploy.svg)](https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-deploy)
Your own site
<a href="https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-deploy"><img src="https://agentmods.dev/badge/skills/fetchai/agentverse-skills/agentverse-deploy.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 938 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.00938
Opus 5 $0.00032 $0.00469
Sonnet 5 $0.00013 $0.00188
Haiku 4.5 $0.00006 $0.00094

Measured 5d ago against content hash 7706b8b0f11a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

agentverse-deploy 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/deploy_agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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)
skills/agentverse-deploy/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentverse Deploy

Overview

Deploy Python code as a hosted agent on Agentverse. The agent runs on Fetch.ai's infrastructure — no server needed. Creates the agent, uploads code in the correct format, and optionally starts it.

When to Use

  • User asks to "deploy this as an agent on Agentverse"
  • User asks to "host this code on Agentverse"
  • User asks to "create a new hosted agent"
  • User has Python agent code they want to run on Agentverse

Prerequisites

  • AGENTVERSE_API_KEY environment variable set
  • Python 3.8+ with requests

Quick Steps

1. Deploy from a file

python3 scripts/deploy_agent.py --name "my-agent" --file ./my_agent_code.py --start

2. Deploy inline code

python3 scripts/deploy_agent.py --name "hello-agent" --code '
@agent.on_event("startup")
async def hello(ctx):
    ctx.logger.info("Hello from my agent!")
'

3. Parse the result

{
  "status": "success",
  "name": "my-agent",
  "address": "agent1q...",
  "running": true
}

Critical: Hosted Agent Code Rules

Your code MUST follow these rules for the hosted environment:

  1. DO NOT create an Agent() instance — agent is pre-created by the platform
  2. DO NOT call agent.run() — the platform manages the lifecycle
  3. DO use @agent.on_event("startup") for initialization
  4. DO use ctx.logger.info() for output (no print/stdout)
  5. DO use Protocol objects and agent.include() for message handling

Valid hosted agent template:

from uagents import Context, Protocol

@agent.on_event("startup")
async def startup(ctx: Context):
    ctx.logger.info(f"Agent started: {ctx.agent.address}")

@agent.on_interval(period=60.0)
async def periodic(ctx: Context):
    ctx.logger.info("Running periodic task...")

With Chat Protocol:

from datetime import datetime
from uuid import uuid4
from uagents import Context, Protocol
from uagents_core.contrib.protocols.chat import (
    ChatMessage, ChatAcknowledgement, TextContent, chat_protocol_spec
)

protocol = Protocol(spec=chat_protocol_spec)

@protocol.on_message(ChatMessage)
async def handle(ctx: Context, sender: str, msg: ChatMessage):
    response = ChatMessage(
        timestamp=datetime.now(), msg_id=uuid4(),
        content=[TextContent(type="text", text="Hello! I received your message.")]
    )
    await ctx.send(sender, response)

agent.include(protocol, publish_manifest=True)

Read the full file on GitHub · 129 lines

Files

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.

Changes

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.

  1. 5d ago First seen · 129 lines · 65 tokens per session scan A 7706b8b0f11a

Subscribe to this mod's changes

agentverse-deploy is a skill published in the GitHub repository fetchai/agentverse-skills (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 65 tokens to every session and 938 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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