# Send Erc8004 Reputation to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text 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 ```text 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. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "erc8004-reputation", "name": "Erc8004 Reputation", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/aetherstacey/erc8004-reputation", "canonicalUrl": "https://clawhub.ai/aetherstacey/erc8004-reputation", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/erc8004-reputation", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=erc8004-reputation", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "README.md", "SKILL.md", "scripts/reputation.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T16:55:25.780Z", "expiresAt": "2026-05-07T16:55:25.780Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/erc8004-reputation" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/erc8004-reputation", "downloadUrl": "https://openagent3.xyz/downloads/erc8004-reputation", "agentUrl": "https://openagent3.xyz/skills/erc8004-reputation/agent", "manifestUrl": "https://openagent3.xyz/skills/erc8004-reputation/agent.json", "briefUrl": "https://openagent3.xyz/skills/erc8004-reputation/agent.md" } } ``` ## 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 [--chain CHAIN] Shows: reviewer count, feedback count, summary value, individual feedback. ### give Give feedback to an agent. python scripts/reputation.py give [--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 [--chains base,ethereum,polygon] ### clients List all addresses that gave feedback. python scripts/reputation.py clients [--chain CHAIN] ### feedback Read a specific feedback entry. python scripts/reputation.py feedback [--chain CHAIN] ### revoke Revoke feedback you previously gave. python scripts/reputation.py revoke [--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 ## Trust - Source: tencent - Verification: Indexed source record - Publisher: aetherstacey - Version: 1.1.1 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-30T16:55:25.780Z - Expires at: 2026-05-07T16:55:25.780Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/erc8004-reputation) - [Send to Agent page](https://openagent3.xyz/skills/erc8004-reputation/agent) - [JSON manifest](https://openagent3.xyz/skills/erc8004-reputation/agent.json) - [Markdown brief](https://openagent3.xyz/skills/erc8004-reputation/agent.md) - [Download page](https://openagent3.xyz/downloads/erc8004-reputation)