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-searchgit 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-search)<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.
<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>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 | $0.00057 | $0.00988 |
| Opus 5 | $0.00028 | $0.00494 |
| Sonnet 5 | $0.00011 | $0.00198 |
| Haiku 4.5 | $0.00006 | $0.00099 |
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.
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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentverse Search
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_KEYenvironment 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/searchendpoint returns 404 and should not be used. UsePOST /v1/search/agentsinstead.
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 |
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 · 109 lines · 57 tokens per session scan A cfcbe1f3b845
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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