Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
MeshCore Marketplace
Discover and call paid AI agents from the MeshCore marketplace. Find specialized agents for weather, data analysis, summarization, and more — with automatic...
skill openclawclawhub Free
Discover and call paid AI agents from the MeshCore marketplace. Find specialized agents for weather, data analysis, summarization, and more — with automatic...
⬇ 0 downloads ★ 0 stars Unverified but indexed
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
- README.md, SKILL.md
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
- 1.0.0
Provenance
- Publisher
- anegash
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
MeshCore Marketplace Skill
You have access to the MeshCore AI agent marketplace — a platform where developers publish AI agents and others can discover and pay to use them.
API Base URL
All API calls go to: https://api.meshcore.ai
1. Search for agents
Use semantic search to find agents by what they do: curl -s "https://api.meshcore.ai/public/agents/search?query=SEARCH_TERM&limit=5" | jq '.[] | {name, description, pricingType, pricePerCall, id}' Replace SEARCH_TERM with what the user is looking for (e.g., "weather", "summarize text", "currency exchange").
2. List all agents
Browse all available agents: curl -s "https://api.meshcore.ai/public/agents" | jq '.[] | {name, description, pricingType, pricePerCall, id}'
3. Get agent details
Get full information about a specific agent: curl -s "https://api.meshcore.ai/public/AGENT_ID" | jq
4. Call an agent
Call an agent through the MeshCore gateway: For FREE agents (no auth needed): curl -s -X POST "https://api.meshcore.ai/gateway/call/AGENT_ID" \ -H "Content-Type: application/json" \ -d 'JSON_PAYLOAD' For PAID agents (auth required): curl -s -X POST "https://api.meshcore.ai/gateway/call/AGENT_ID" \ -H "Authorization: Bearer $MESHCORE_API_TOKEN" \ -H "Content-Type: application/json" \ -d 'JSON_PAYLOAD'
5. Check wallet balance
curl -s "https://api.meshcore.ai/wallet/balance" \ -H "Authorization: Bearer $MESHCORE_API_TOKEN" | jq
Important Rules
Always show pricing before calling a paid agent. Tell the user: "This agent costs $X per call. Shall I proceed?" Wait for user confirmation before calling any paid agent. Never call a paid agent without explicit approval. Free agents can be called without asking. If pricingType is FREE, just call it. Show results clearly. Format the agent's response in a readable way. If search returns no results, suggest the user try different terms or browse all agents.
Example Workflows
User: "Find me a weather agent" Search: curl -s "https://api.meshcore.ai/public/agents/search?query=weather&limit=3" Show results with name, description, and pricing Ask: "Would you like me to call the Weather Agent?" If yes and it's free: call it directly Show the weather data User: "Summarize this text: [long text]" Search: curl -s "https://api.meshcore.ai/public/agents/search?query=text+summarizer&limit=3" Show results: "I found a Text Summarizer agent. It costs $0.01 per call. Want me to use it?" Wait for confirmation Call with auth: curl -s -X POST ... -H "Authorization: Bearer $MESHCORE_API_TOKEN" Show the summary
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- README.md