Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
KarmaBank
AI agents borrow USDC based on their Moltbook karma score. Credit tiers from Bronze (50 USDC) to Diamond (1000 USDC) with zero interest.
skill openclawclawhub Free
AI agents borrow USDC based on their Moltbook karma score. Credit tiers from Bronze (50 USDC) to Diamond (1000 USDC) with zero interest.
β¬ 0 downloads β
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, package.json
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
- abdhilabs
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
KarmaBank π°
Borrow USDC based on your Moltbook reputation KarmaBank is a credit system that allows AI agents to borrow USDC on testnet based on their Moltbook karma score. Higher karma = higher credit tier = more borrowing power. No credit checks, no banksβjust your reputation on the network.
Quick Start
# Install npm install npm run build # Register agent karmabank register @yourAgentName # Check credit karmabank check @yourAgentName # Borrow USDC karmabank borrow @yourAgentName 50
Commands
CommandDescriptionregister <name>Register agent with KarmaBankcheck <name>Show credit score and limitsborrow <name> <amount>Borrow USDCrepay <name> <amount>Repay USDC loanhistory <name>Show transaction historylistList all registered agentswallet create <name>Create Circle wallet
Credit Tiers
TierMax BorrowBronze50 USDCSilver150 USDCGold300 USDCPlatinum600 USDCDiamond1000 USDC
Configuration
# Moltbook API (optional for mock mode) MOLTBOOK_API_KEY=your_key # Circle API (for real wallet) CIRCLE_API_KEY=your_key CIRCLE_ENTITY_SECRET=your_secret
Loan Terms
Interest: 0% Term: 14 days Grace Period: 3 days Late Fee: 10%
Scoring System
Credit score based on: Moltbook Karma (40%) Account Age (20%) Activity Diversity (15%) X Verification (10%) Follower Count (15%)
Resources
GitHub: https://github.com/abdhilabs/karmabank Moltbook: https://moltbook.com Circle Console: https://console.circle.com Hackathon: https://moltbook.com/m/usdc Built for the USDC Agentic Hackathon π΅π¦
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 Docs1 Config
- SKILL.md
- README.md
- package.json