fetch-agents

Call Fetch.ai Agentverse agents by address. Search the Agentverse marketplace, browse a curated catalog of top agents (Tavily Search, ASI1-Mini, DALL-E 3, Technical Analysis, Asset Signal, Translator, Statistics, Github), and send ChatMessages to any agent. Use when working with Fetch.ai, Agentverse, uAgents, decentralized AI agents, or when the user wants to discover or message an agent on the Fetch.ai network.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "fetch-agents" with this command: npx skills add steve-dusty/fetch-agents

Fetch Agents

Send queries to Fetch.ai Agentverse agents and return the agent's reply in natural language.

CRITICAL RULES — READ FIRST

  1. NEVER show the user a bash command, a script path, or anything that looks like python3 ... or bash .... Those are for YOU to run internally. The user is chatting in Telegram/CLI and wants plain language.
  2. If the user asks "how do I use X" or "how does this work" — DO NOT respond with commands. Respond with plain-English example prompts, like: "Just ask me things like 'get trading signals for TSLA' or 'translate hello to French' and I'll take care of the rest."
  3. When the user makes an actual request (get signals, translate, etc.), run the script yourself and reply with the agent's answer. Format it nicely. Do not tell them to run anything.
  4. The only time you reveal paths or commands is if the user explicitly asks for debug/diagnostic info.

How to answer common user questions

  • "How do I use this?" / "What can this do?" → Explain in plain English: it calls Fetch.ai Agentverse agents for real-time data, translations, stats, stock signals, image generation, etc. Give 3-4 example prompts the user can try (in natural language, NOT bash).
  • "What agents are available?" / "Show me the catalog" → Run catalog.py and format the result as a friendly list.
  • "Find a [topic] agent" → Run search.py and return the top matches in plain text.
  • Any actual task (signals, translation, stats, etc.) → Run fire.sh, tell the user to hold on ~40 seconds, then run result.sh and reply with the agent's answer in your own words.

Natural-language prompts the user might send

  • "get me trading signals for TSLA" → call signals agent
  • "what does ASI1-Mini think about quantum computing?" → call asi agent
  • "translate 'hello world' to Japanese" → call translate agent
  • "compute stats for 1, 2, 3, 4, 5" → call stats agent
  • "stock analysis on AAPL" → call stocks agent
  • "search the agentverse for weather agents" → run marketplace search
  • "latest news on Fetch.ai" → call search (Tavily web search) agent
  • "get github info for fetchai" → call github agent
  • "generate an image of a cyberpunk cat" → call image agent
  • "call the Crypto Fear & Greed Agent for the current index" → agent by name, auto-searched

Agent Shortcuts

KeyAgentPurpose
statsAverage AgentMean, median, mode, variance, std dev
signalsAsset SignalBUY/SELL/WAIT trading signals
stocksTechnical AnalysisStock SMA/EMA/WMA indicators
imageDALL-E 3 GeneratorImage generation from text
asiASI1-MiniGeneral-purpose AI chat
translateOpenAI TranslatorText translation
githubGithub OrganisationGitHub org metadata
searchTavily SearchWeb search (NOT marketplace search)

Internal Execution (for you, the agent, not the user)

The following are the commands YOU run with the exec tool. Never show these to the user.

Show the curated catalog

Runs in <5 seconds. Use for "what agents are available?" type questions.

python3 {baseDir}/scripts/catalog.py

Search the Agentverse marketplace

Runs in <5 seconds. Use when the user wants to find agents by topic.

python3 {baseDir}/scripts/search.py "query" -n 10

Call an agent (two-step, ~40 seconds total)

Calling an Agentverse agent takes 30-60 seconds. Use the two-step pattern:

Step 1 — Fire (returns instantly):

bash {baseDir}/scripts/fire.sh <shortcut-or-address-or-name> "user's query"

Accepts: a shortcut key from the table above, a full agent1q... address, or an agent name (auto-searched).

Step 2 — Tell the user something like: "Calling the agent, this takes about 30-60 seconds..."

Step 3 — After 30-60 seconds, read the result:

bash {baseDir}/scripts/result.sh

Then reply to the user with the agent's answer, rewritten in your own words / formatted nicely. Never show the raw command.

Rules

  1. Resolve {baseDir} to the absolute path of this SKILL.md's parent directory.
  2. Single absolute-path command per exec call. No cd, no &&.
  3. The user never sees the commands or paths. Just give them the agent's answer.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

龙虾婚恋交友

为AI Agent龙虾提供注册、发帖、评论、配对及申请结婚证的婚恋交友服务平台。

Registry SourceRecently Updated
Automation

Skill Lookup

Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, inst...

Registry SourceRecently Updated
Automation

Purpleflea Casino

Purple Flea Agent Casino — provably fair gambling API built exclusively for AI agents. Use this skill when an agent wants to: place bets on casino games (coi...

Registry SourceRecently Updated
Automation

Multi Agent Coordinator Zhuyu28

Coordinate and manage multiple AI agents working together on complex tasks. Provides orchestration, communication patterns, and workflow management for multi...

Registry SourceRecently Updated