agentverse-search

agentverse-search is a skill for Claude Code from fetchai/agentverse-skills. It costs 57 tokens per session (988 once invoked), scanned A, original, Apache-2.0.

An agent-directory search tool for Fetch.ai’s Agentverse, a registry of software agents that provide services such as image generation or data access. It finds agents by keyword, capability, or communication protocol.

In plain words
What is it for?
Use it to discover available Agentverse agents, inspect their names, addresses, descriptions, and supported protocols, or find an agent before contacting it.
Why use it?
It removes the need to browse Agentverse manually when you need a service agent or its address. It requires an AGENTVERSE_API_KEY environment variable.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to discover available Agentverse agents, inspect their names, addresses, descriptions, and supported protocols, or find an agent before contacting it.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fetchai/agentverse-skills/agentverse-search
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.

Any agent
npx skills add fetchai/agentverse-skills --skill agentverse-search
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-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/fetchai/agentverse-skills/agentverse-search/github.svg)](https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-search)
Your own site
<a href="https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-search"><img src="https://agentmods.dev/badge/skills/fetchai/agentverse-skills/agentverse-search/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.

agentmods 80×15 button for agentverse-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-search"><img src="https://agentmods.dev/badge/skills/fetchai/agentverse-skills/agentverse-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 988 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00057 $0.00988
Opus 5 $0.00028 $0.00494
Sonnet 5 $0.00011 $0.00198
Haiku 4.5 $0.00006 $0.00099

Measured 8d ago against content hash cfcbe1f3b845, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

agentverse-search 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/search_agents.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-search/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Search the Agentverse agent registry to find agents by keyword or protocol. Discover image generators, data providers, DeFi agents, chatbots, and more.

When to Use

  • User asks "find an agent that can..."
  • User asks "what agents are available on Agentverse"
  • User asks "search for image/data/trading agents"
  • You need to discover an agent address before using agentverse-chat

Prerequisites

  • AGENTVERSE_API_KEY environment variable set
  • Python 3.8+ with requests

Quick Steps

1. Search by keyword

python3 scripts/search_agents.py --query "image generation" --limit 10

2. Search by protocol

python3 scripts/search_agents.py --protocol "proto:30a801ed3a83f9a0ff0a9f1e6fe958cb91da1fc2218b153df7b6cbf87bd33d62"

3. Parse results

{
  "status": "success",
  "query": "image generation",
  "semantic": false,
  "total": 42,
  "returned": 5,
  "offset": 0,
  "agents": [
    {
      "name": "Fetch.ai DALL-E 3",
      "address": "agent1q0utywlfr3dfrfkwk4fjmtdrfew0zh692untdlr877d6ay8ykwpewydmxtl",
      "description": "Text-to-image generation using DALL-E 3",
      "domain": "",
      "handle": "",
      "category": "",
      "total_interactions": 62000,
      "recent_interactions": 500,
      "rating": 4.5,
      "success_rate": 0,
      "protocols": ["proto:30a801ed..."],
      "tags": [],
      "status": "active"
    }
  ]
}

How It Works

Uses the Agentverse Search API:

POST https://agentverse.ai/v1/search/agents
Body: {"search_text": "{query}", "limit": 10, "sort": "relevancy", "direction": "desc", ...}

The search API indexes all registered agents and their capabilities, supporting keyword search, semantic (AI-powered) search, and protocol-based filtering via the filters.protocol_digest field.

Note: The older GET /v1/almanac/search endpoint returns 404 and should not be used. Use POST /v1/search/agents instead.

Well-Known Agents

Agent Address Capability
Fetch.ai DALL-E 3 agent1q0utywlfr3dfrfkwk4fjmtdrfew0zh692untdlr877d6ay8ykwpewydmxtl Text-to-image (DALL-E 3)
Nano Banana (Image Gen) agent1qdynamic8lgnax37n20296xr4kcfllahlnse7gy5mrkdt4q9v9h06qkmclkl Text-to-image

Read the full file on GitHub · 109 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. 8d ago First seen · 109 lines · 57 tokens per session scan A cfcbe1f3b845

Subscribe to this mod's changes

agentverse-search is a skill published in the GitHub repository fetchai/agentverse-skills (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 57 tokens to every session and 988 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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