bambu-studio-ai
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On-chain reputation for AI agents. Give feedback, check scores, view leaderboards, and build trust via the ERC-8004 Reputation Registry. Supports Base, Ethereum, Polygon, Monad, BNB.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install aetherstacey/erc8004-reputationInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Interact with the ERC-8004 Reputation Registry — the decentralized reputation layer for AI agents.
Look up an agent's reputation summary.
python scripts/reputation.py lookup <agentId> [--chain CHAIN]
Shows: reviewer count, feedback count, summary value, individual feedback.
Give feedback to an agent.
python scripts/reputation.py give <agentId> <value> [--decimals N] [--tag1 TAG] [--tag2 TAG] [--chain CHAIN]
Examples:
# Simple score (0-100)
python scripts/reputation.py give 16700 85 --tag1 reliable
# Percentage with decimals (99.77%)
python scripts/reputation.py give 16700 9977 --decimals 2 --tag1 uptime
Check your agent's reputation across all chains.
python scripts/reputation.py my-rep <agentId> [--chains base,ethereum,polygon]
List all addresses that gave feedback.
python scripts/reputation.py clients <agentId> [--chain CHAIN]
Read a specific feedback entry.
python scripts/reputation.py feedback <agentId> <clientAddress> <feedbackIndex> [--chain CHAIN]
Revoke feedback you previously gave.
python scripts/reputation.py revoke <agentId> <feedbackIndex> [--chain CHAIN]
Show top agents by reputation score.
python scripts/reputation.py leaderboard [--chain CHAIN] [--limit 20]
Fetches from Agentscan API and displays top agents with scores and star ratings.
# 1. Register your agent (from erc8004-register skill)
python scripts/register.py register --name "MyBot" --description "..."
# 2. Validate the...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
An OpenClaw skill for interacting with the ERC-8004 Reputation Registry — the on-chain trust layer for AI agents.
Over 43,000 agents are registered on-chain via ERC-8004, but almost none have reputation scores. The contracts are deployed, but there was no easy tooling. This fixes that.
# Clone into your OpenClaw workspace
git clone https://github.com/aetherstacey/erc8004-reputation-skill.git skills/erc8004-reputation
# Install dependencies
pip install web3 eth-account
Agent IDs are integers (e.g. 16700), not addresses.
# Look up any agent's reputation
python3 skills/erc8004-reputation/scripts/reputation.py lookup 23983 --chain ethereum
# Give feedback (needs funded wallet)
export ERC8004_PRIVATE_KEY="0x..."
python3 skills/erc8004-reputation/scripts/reputation.py give 16700 85 --tag1 reliable --tag2 fast
# Check your reputation across all chains
python3 skills/erc8004-reputation/scripts/reputation.py my-rep 16700
# List who rated an agent
python3 skills/erc8004-reputation/scripts/reputation.py clients 23983 --chain ethereum
# Read specific feedback
python3 skills/erc8004-reputation/scripts/reputation.py feedback 23983 0xF653...807e 1 --chain ethereum
# Revoke your feedback
python3 skills/erc8004-reputation/scripts/reputation.py revoke 16700 1
Works on Base (default, cheapest), Ethereum, Polygon, Monad, and BNB. Same contract addresses on all chains:
0x8004A169FB4a3325136EB29fA0ceB6D2e539a432
0x8004BAa17C55a88189AE136b182e5fdA19dE9b63
The ERC-8004 feedback system uses value + valueDecimals:
| Example | value | --decimals | Meaning |
|---|---|---|---|
| Score 85/100 | 85 | 0 | Simple rating |
| Uptime 99.77% | 9977 | 2 | Percentage |
| Response 560ms | 560 | 0 | Latency |
The ABI in this tool is verified...
# ERC-8004 Reputation Skill Interact with the ERC-8004 Reputation Registry — the decentralized reputation layer for AI agents. ## Use This When... - "Check an agent's reputation" - "Rate this agent" - "Give feedback to agent X" - "What's my agent's reputation?" - "Who gave feedback to my agent?" - "Show me the reputation leaderboard" - "Top agents by reputation" - "Revoke my feedback" ## Commands ### lookup Look up an agent's reputation summary. ```bash python scripts/reputation.py lookup <agentId> [--chain CHAIN] ``` Shows: reviewer count, feedback count, summary value, individual feedback. ### give Give feedback to an agent. ```bash python scripts/reputation.py give <agentId> <value> [--decimals N] [--tag1 TAG] [--tag2 TAG] [--chain CHAIN] ``` **Examples:** ```bash # Simple score (0-100) python scripts/reputation.py give 16700 85 --tag1 reliable # Percentage with decimals (99.77%) python scripts/reputation.py give 16700 9977 --decimals 2 --tag1 uptime ``` ### my-rep Check your agent's reputation across all chains. ```bash python scripts/reputation.py my-rep <agentId> [--chains base,ethereum,polygon] ``` ### clients List all addresses that gave feedback. ```bash python scripts/reputation.py clients <agentId> [--chain CHAIN] ``` ### feedback Read a specific feedback entry. ```bash python scripts/reputation.py feedback <agentId> <clientAddress> <feedbackIndex> [--chain CHAIN] ``` ### revoke Revoke feedback you previously gave. ```bash python scripts/reputation.py revoke <agentId> <feedbackIndex> [--chain CHAIN] ``` ### leaderboard Show top agents by reputation score. ```bash python scripts/reputation.py leaderboard [--chain CHAIN] [--limit 20] ``` Fetches from Agentscan API and displays top agents with scores and star ratings. ## Cross-Skill Workflows ### Post-Registration Reputation Building ```bash # 1. Register your agent (from erc8004-register skill) python scripts/register.py register --name "MyBot" --description "..." # 2. Validate the...
# ERC-8004 Reputation Skill An [OpenClaw](https://github.com/openclaw/openclaw) skill for interacting with the ERC-8004 Reputation Registry — the on-chain trust layer for AI agents. ## The Problem Over 43,000 agents are registered on-chain via ERC-8004, but almost none have reputation scores. The contracts are deployed, but there was no easy tooling. This fixes that. ## Install ```bash # Clone into your OpenClaw workspace git clone https://github.com/aetherstacey/erc8004-reputation-skill.git skills/erc8004-reputation # Install dependencies pip install web3 eth-account ``` ## Usage Agent IDs are integers (e.g. 16700), not addresses. ```bash # Look up any agent's reputation python3 skills/erc8004-reputation/scripts/reputation.py lookup 23983 --chain ethereum # Give feedback (needs funded wallet) export ERC8004_PRIVATE_KEY="0x..." python3 skills/erc8004-reputation/scripts/reputation.py give 16700 85 --tag1 reliable --tag2 fast # Check your reputation across all chains python3 skills/erc8004-reputation/scripts/reputation.py my-rep 16700 # List who rated an agent python3 skills/erc8004-reputation/scripts/reputation.py clients 23983 --chain ethereum # Read specific feedback python3 skills/erc8004-reputation/scripts/reputation.py feedback 23983 0xF653...807e 1 --chain ethereum # Revoke your feedback python3 skills/erc8004-reputation/scripts/reputation.py revoke 16700 1 ``` ## Chains Works on Base (default, cheapest), Ethereum, Polygon, Monad, and BNB. Same contract addresses on all chains: - **Identity Registry**: `0x8004A169FB4a3325136EB29fA0ceB6D2e539a432` - **Reputation Registry**: `0x8004BAa17C55a88189AE136b182e5fdA19dE9b63` ## Feedback Values The ERC-8004 feedback system uses `value` + `valueDecimals`: | Example | value | --decimals | Meaning | |---------|-------|-----------|---------| | Score 85/100 | 85 | 0 | Simple rating | | Uptime 99.77% | 9977 | 2 | Percentage | | Response 560ms | 560 | 0 | Latency | ## ABI The ABI in this tool is verified...
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