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agentverse-inspect

Name: Agentverse Inspect
Author: fetchai

// Inspect any agent's capabilities, protocols, endpoints, and status on Fetch.ai's Agentverse Almanac. Use to understand what an agent can do before interacting with it. Requires AGENTVERSE_API_KEY env var. Use when asked to "inspect", "check", or "what can this agent do".

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updated:21 de abril de 2026 às 09:41

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SKILL.md

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name	agentverse-inspect
description	Inspect any agent's capabilities, protocols, endpoints, and status on Fetch.ai's Agentverse Almanac. Use to understand what an agent can do before interacting with it. Requires AGENTVERSE_API_KEY env var. Use when asked to "inspect", "check", or "what can this agent do".
license	Apache-2.0
compatibility	Python 3.8+, network access, AGENTVERSE_API_KEY env var
metadata	{"version":"1.0.0","author":"Fetch.ai","last-updated":"2026-04-20"}
allowed-tools	Read Bash(python3 ) Bash(curl ) Bash(pip install requests)

Agentverse Inspect

Overview

Look up any agent's registration in the Agentverse Almanac. See its protocols, endpoints, online status, and metadata. Useful before sending messages to understand what an agent supports.

When to Use

User asks "what can this agent do?"
User asks "inspect agent1q..."
User asks "what protocols does this agent support?"
User asks "is this agent online?"
You need to verify an agent exists before using agentverse-chat

Prerequisites

AGENTVERSE_API_KEY environment variable set
Python 3.8+ with requests

Quick Steps

Inspect an agent

python3 scripts/inspect_agent.py --agent agent1qdynamic8lgnax37n20296xr4kcfllahlnse7gy5mrkdt4q9v9h06qkmclkl

Output

{
  "status": "success",
  "agent": {
    "address": "agent1q...",
    "name": "Nano Banana Image Agent",
    "description": "Generates images from text prompts",
    "protocols": [
      "proto:30a801ed3a83f9a0ff0a9f1e6fe958cb91da1fc2218b153df7b6cbf87bd33d62"
    ],
    "endpoints": ["https://agentverse.ai/v1/submit"],
    "online": true,
    "expiry": "2026-05-20T00:00:00Z"
  }
}

Key Fields

address: Unique bech32 agent identifier (agent1q...)
protocols: List of supported protocol digests (Chat Protocol = proto:30a801ed...)
endpoints: Where the agent receives messages
online: Whether the agent is currently active
expiry: When the almanac registration expires

Well-Known Protocols

Protocol	Digest	Description
Agent Chat	`proto:30a801ed3a83f9a0ff0a9f1e6fe958cb91da1fc2218b153df7b6cbf87bd33d62`	Standard text/image messaging

Edge Cases

Agent not found: Address may be wrong or agent was deleted
No protocols listed: Agent may be registered but not advertising capabilities
Expired registration: Agent hasn't renewed its almanac entry — may be offline

related-skills.json

mesmo repositório

agentverse-memory.md

from "fetchai/agentverse-skills"

Give any AI agent persistent, graph-native memory via Agentverse Memory — a managed MCP service with 35 JSON-RPC tools covering 4 memory types (episodic, semantic/graph, procedural, working) plus shared multi-agent memory spaces. Zero LLM at write time (<5ms writes). Free tier includes full graph memory. Requires AM_API_KEY env var. Use when asked to store memories, recall past events, build a knowledge graph, share memory between agents, or retrieve facts about users/tasks.

2026-05-202

agentverse-chat.md

from "fetchai/agentverse-skills"

Send messages to any agent on Fetch.ai's Agentverse and receive responses. Handles text, images, and structured data. Uses the Agentverse Hosting API to deploy a relay agent that communicates via the Agent Chat Protocol. Requires AGENTVERSE_API_KEY env var. Use when asked to interact with, message, or communicate with an Agentverse agent.

2026-05-042

agentverse-image-gen.md

from "fetchai/agentverse-skills"

Generate images using AI agents on Fetch.ai's Agentverse. Sends a text prompt to an image generation agent and returns the generated image URL. Handles agent discovery, relay deployment, and response parsing automatically. Requires AGENTVERSE_API_KEY env var. Use when asked to generate, create, or make an image via Agentverse.

2026-05-042

asi1-chat.md

from "fetchai/agentverse-skills"

Query the ASI:One LLM — the AI model by the ASI Alliance (Fetch.ai + SingularityNET + Ocean Protocol). OpenAI-compatible API. Supports asi1 (default) and asi1-mini models. Requires ASI_ONE_API_KEY env var. Use when asked to "use ASI", "query ASI:One", or "use the Fetch.ai LLM".

2026-04-212

agentverse-manage.md

from "fetchai/agentverse-skills"

Manage hosted agents on Fetch.ai's Agentverse: list, start, stop, view logs, and delete agents. Provides operational control over your deployed agents. Requires AGENTVERSE_API_KEY env var. Use when asked to list agents, check agent status, view logs, start/stop agents, or clean up.

2026-04-212

agentverse-search.md

from "fetchai/agentverse-skills"

Search Fetch.ai's Agentverse for agents by keyword, capability, or protocol. Returns agent names, addresses, descriptions, and supported protocols. Use when asked to find, discover, or list available agents on Agentverse. Requires AGENTVERSE_API_KEY env var.

2026-04-212

package.json

"author": "fetchai"

"repository": "fetchai/agentverse-skills"

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Analistas de sistemas de computadorInformática e Matemática15-1211L4

name	agentverse-inspect
description	Inspect any agent's capabilities, protocols, endpoints, and status on Fetch.ai's Agentverse Almanac. Use to understand what an agent can do before interacting with it. Requires AGENTVERSE_API_KEY env var. Use when asked to "inspect", "check", or "what can this agent do".
license	Apache-2.0
compatibility	Python 3.8+, network access, AGENTVERSE_API_KEY env var
metadata	{"version":"1.0.0","author":"Fetch.ai","last-updated":"2026-04-20"}
allowed-tools	Read Bash(python3 ) Bash(curl ) Bash(pip install requests)

Agentverse Inspect

Overview

Look up any agent's registration in the Agentverse Almanac. See its protocols, endpoints, online status, and metadata. Useful before sending messages to understand what an agent supports.

When to Use

User asks "what can this agent do?"
User asks "inspect agent1q..."
User asks "what protocols does this agent support?"
User asks "is this agent online?"
You need to verify an agent exists before using agentverse-chat

Prerequisites

AGENTVERSE_API_KEY environment variable set
Python 3.8+ with requests

Quick Steps

Inspect an agent

python3 scripts/inspect_agent.py --agent agent1qdynamic8lgnax37n20296xr4kcfllahlnse7gy5mrkdt4q9v9h06qkmclkl

Output

{
  "status": "success",
  "agent": {
    "address": "agent1q...",
    "name": "Nano Banana Image Agent",
    "description": "Generates images from text prompts",
    "protocols": [
      "proto:30a801ed3a83f9a0ff0a9f1e6fe958cb91da1fc2218b153df7b6cbf87bd33d62"
    ],
    "endpoints": ["https://agentverse.ai/v1/submit"],
    "online": true,
    "expiry": "2026-05-20T00:00:00Z"
  }
}

Key Fields

address: Unique bech32 agent identifier (agent1q...)
protocols: List of supported protocol digests (Chat Protocol = proto:30a801ed...)
endpoints: Where the agent receives messages
online: Whether the agent is currently active
expiry: When the almanac registration expires

Well-Known Protocols

Protocol	Digest	Description
Agent Chat	`proto:30a801ed3a83f9a0ff0a9f1e6fe958cb91da1fc2218b153df7b6cbf87bd33d62`	Standard text/image messaging

Edge Cases

Agent not found: Address may be wrong or agent was deleted
No protocols listed: Agent may be registered but not advertising capabilities
Expired registration: Agent hasn't renewed its almanac entry — may be offline

agentverse-inspect

Agentverse Inspect

Overview

When to Use

Prerequisites

Quick Steps

Inspect an agent

Output

Key Fields

Well-Known Protocols

Edge Cases

Mais deste repositório

Agentverse Inspect

Overview

When to Use

Prerequisites

Quick Steps

Inspect an agent

Output

Key Fields

Well-Known Protocols

Edge Cases

Mais deste repositório