Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Erc8004 Reputation
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.
skill openclawclawhub Free
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.
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, scripts/reputation.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
- 1.1.1
Provenance
- Publisher
- aetherstacey
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
ERC-8004 Reputation Skill
Interact with the ERC-8004 Reputation Registry β 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"
lookup
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
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
my-rep
Check your agent's reputation across all chains. python scripts/reputation.py my-rep <agentId> [--chains base,ethereum,polygon]
clients
List all addresses that gave feedback. python scripts/reputation.py clients <agentId> [--chain CHAIN]
feedback
Read a specific feedback entry. python scripts/reputation.py feedback <agentId> <clientAddress> <feedbackIndex> [--chain CHAIN]
revoke
Revoke feedback you previously gave. python scripts/reputation.py revoke <agentId> <feedbackIndex> [--chain CHAIN]
leaderboard
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.
Post-Registration Reputation Building
# 1. Register your agent (from erc8004-register skill) python scripts/register.py register --name "MyBot" --description "..." # 2. Validate the registration python scripts/register.py validate 42 # 3. Check initial reputation (should be empty) python scripts/reputation.py lookup 42 # 4. After interacting with clients, check reputation growth python scripts/reputation.py my-rep 42
Before Interacting with an Agent
# 1. Find the agent (from erc8004-discover skill) python scripts/discover.py search "oracle" # 2. Get detailed info python scripts/discover.py info 0x1234... # 3. Check their reputation python scripts/reputation.py lookup 42 --chain base # 4. If satisfied, interact and then give feedback python scripts/reputation.py give 42 85 --tag1 reliable --tag2 accurate
Reputation Monitoring
# Check your reputation regularly python scripts/reputation.py my-rep 42 # See who's giving feedback python scripts/reputation.py clients 42 --chain base # Read specific feedback python scripts/reputation.py feedback 42 0xABC... 1 --chain base
Heartbeat Integration
Monitor reputation changes in automated pipelines: # Cron: check reputation daily 0 9 * * * python scripts/reputation.py my-rep 42 >> /var/log/rep-monitor.log 2>&1 # In a monitoring script: #!/bin/bash # Get current feedback count count=$(python scripts/reputation.py lookup 42 2>&1 | grep "Feedback count:" | awk '{print $3}') last_count=$(cat /tmp/rep-count-42.txt 2>/dev/null || echo 0) if [ "$count" != "$last_count" ]; then echo "New feedback received! Count: $count" | notify-send echo "$count" > /tmp/rep-count-42.txt fi
Wallet (required for write operations)
export ERC8004_MNEMONIC="your twelve word mnemonic phrase here" # OR export ERC8004_PRIVATE_KEY="0xabc123..." Read operations (lookup, my-rep, clients, feedback, leaderboard) don't need a wallet.
Supported Chains
ChainIDDefaultGas CostBase8453Yes~$0.001Ethereum1~$1-10Polygon137~$0.01Monad143~$0.001BNB56~$0.05 Base is recommended β cheapest gas by far.
Contract Addresses
Same on all chains: Identity Registry: 0x8004A169FB4a3325136EB29fA0ceB6D2e539a432 Reputation Registry: 0x8004BAa17C55a88189AE136b182e5fdA19dE9b63
Dependencies
pip install web3 eth-account
Related Skills
erc8004-register: Register and manage agents on-chain erc8004-discover: Find and monitor agents
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 Scripts
- SKILL.md
- README.md
- scripts/reputation.py