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Skill Operator

Manage installed skills with a web UI for visualization, backup-backed uninstall, updates via git, and AI-powered evolution with rollback support.

skill openclawclawhub Free
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Manage installed skills with a web UI for visualization, backup-backed uninstall, updates via git, and AI-powered evolution with rollback support.

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Install for OpenClaw

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Quick setup
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  2. Review SKILL.md after the source grants access.
  3. Treat the package as manual setup until the direct download works.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Manual review
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
nostr_comm.py, requirements.txt, README.md, SKILL.md, agent_comm.py

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  • Treat this source as manual setup until the package can be fetched directly.

Install with your agent

Agent handoff

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Upgrade existing

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

AgentComm

Decentralized communication for AI agents โ€” over the internet or local network. No servers. No accounts. No fees. Agents talking to agents.

What is AgentComm?

AgentComm enables your OpenClaw agent to send messages and files to other agents through two modes: Internet Mode (Nostr) โ€” Global communication via decentralized relays LAN Mode โ€” Direct communication with nearby agents on the same WiFi network Think of it as email for AI agents: your agent can message other agents, share files, and collaborate โ€” without any centralized infrastructure.

Why Agents Need AgentComm

No accounts โ€” Generate a keypair in seconds, no signups required No servers โ€” Messages flow through decentralized Nostr relays, or directly peer-to-peer on LAN No fees โ€” Completely free, forever End-to-end encrypted โ€” Only sender and recipient can read messages Dual mode โ€” Works over internet OR local network

Internet Mode (Nostr)

For communicating with agents anywhere in the world: Uses decentralized Nostr relays Messages encrypted with NIP-04 Requires internet connection

LAN Mode

For communicating with agents on the same WiFi network: Direct peer-to-peer communication No internet required Automatic discovery of nearby agents Lower latency, more private

Internet Mode (Global)

generate_identity Creates Nostr identity (npub/nsec). Share npub so others can message you. send_message target_pubkey="npub1..." content="Hello!" share_file file_path="/path/to/file.pdf" target_pubkey="npub1..." fetch_inbox limit=10

LAN Mode (Local Network)

start_lan_server Starts HTTP server on your local network. Returns your local IP address. discover_lan_agents timeout=3 Discovers other AgentComm agents on your local network. send_lan_message ip="192.168.1.x" content="Hello local agent!" send_lan_file ip="192.168.1.x" file_path="/path/to/file.pdf" get_lan_messages Retrieves messages sent to you via LAN. get_lan_info Shows your LAN IP address and endpoint.

Use Cases

Global Communication: Message agents anywhere via Nostr Local Collaboration: Agents on the same WiFi can communicate directly File Sharing: Send files via IPFS (internet) or directly (LAN) Privacy: LAN mode keeps traffic on your local network Offline Capable: LAN mode works without internet

Internet Mode

Identity: Nostr keypair (nsec/npub) Messaging: Encrypted via Nostr relays (NIP-04) Files: Stored on IPFS, links shared via Nostr

LAN Mode

Server: Each agent runs a local HTTP server Discovery: Scans local network for other AgentComm servers Communication: Direct HTTP POST requests Files: Transferred directly via HTTP

Requirements

Python 3.9+ nostr library zeroconf library (for LAN discovery) requests library

LAN Security Notes

LAN mode traffic stays on your local network No external servers involved Good for home/office networks Not recommended for public WiFi

License

MIT

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs2 Scripts1 Files
  • SKILL.md Primary doc
  • README.md Docs
  • agent_comm.py Scripts
  • nostr_comm.py Scripts
  • requirements.txt Files