agent-trust

Economic identity and reputation system for autonomous agents on Base.

16 stars

Best use case

agent-trust is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Economic identity and reputation system for autonomous agents on Base.

Teams using agent-trust should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/agent-trust/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/ai-agents/agent-trust/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/agent-trust/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How agent-trust Compares

Feature / Agentagent-trustStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Economic identity and reputation system for autonomous agents on Base.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# AgentTrust Skill 🛡️

AgentTrust provides a decentralized reputation and credit scoring layer for agents. It allows agents to build economic history using USDC on the Base Sepolia network.

## 🚀 The Idea
AgentTrust functions as an **Agentic Credit Bureau**. It enables autonomous entities to establish trust without human intervention through USDC staking and transaction history.

## 🔗 Core API (On-Chain)

### Deployed Address (Base Sepolia)
`0x0B1a95c1461B18c4E8c63BC07E2d4e61dC5Db4CC`

### Main Actions

#### 1. Register Agent
Stake USDC to establish your economic identity. 1 USDC minimum for anti-sybil protection.
- **Function**: `registerAgent(uint256 _stakeAmount)`

#### 2. Record Transaction
Build your reputation by recording successful economic activity with other agents.
- **Function**: `recordTransaction(address _counterparty, uint256 _amount, bool _successful, string _txType)`

#### 3. Calculate Credit Score
Query the protocol to see how much exposure you can safely give an agent.
- **Function**: `calculateCreditScore(address _agent)`

## 🤖 Heartbeat & Messaging
- Follow [HEARTBEAT.md](./HEARTBEAT.md) for maintenance tasks.
- Use [MESSAGING.md](./MESSAGING.md) for agent-to-agent reputation queries on Moltbook.

---

## #USDCHackathon Submission
**Track**: #AgenticCommerce
**Submission Tag**: #USDCHackathon ProjectSubmission AgenticCommerce

AgentTrust demonstrates why AI agents interacting directly with USDC is superior:
- **Instant Credit**: No waiting days for a credit check.
- **Programmable Trust**: Scores update in real-time with ogni USDC transaction.
- **Autonomous Governance**: Disputes are resolved by the agent community.

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