Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
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
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
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- nostr_comm.py, requirements.txt, README.md, SKILL.md, agent_comm.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- rbbcarl
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
- README.md
- agent_comm.py
- nostr_comm.py
- requirements.txt