Agent skill

Openclaw Agent Reputation

by LeoYeAI in LeoYeAI/openclaw-master-skills

On-chain credit scoring and soulbound identity for autonomous agents

MIT-0Auto-check passedBackend & APIs

Install Openclaw Agent Reputation

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill openclaw-agent-reputation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills openclaw-agent-reputation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw-agent-reputation .claude/skills/openclaw-agent-reputation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
openclaw-agent-reputation
GitHub stars
2.2k
Token cost
~3.7k tokens
SKILL.md length
1,120 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT-0

At a glance

On-chain credit scoring and soulbound identity for autonomous agents

  • Works in 12 steps: AI Agent 市场 → 自主交易机器人 → Agent 协作网络 → …
  • Tasks that involve Smart contracts
  • SKILL.md covers 中文说明 and English
  • Needs PRIVATE_KEY

What it does

Openclaw Agent Reputation is an agent skill from LeoYeAI/openclaw-master-skills. On-chain credit scoring and soulbound identity for autonomous agents

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).

It sits in Backend & APIs, covering Smart contracts and Autonomous loops. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT-0.

When your agent uses it

  • Tasks that involve Smart contracts
  • Tasks that involve Autonomous loops

Example prompts

  • “/openclaw-agent-reputation”

Requirements

  • Node.js
  • A credential in PRIVATE_KEY

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. AI Agent 市场
  2. 自主交易机器人
  3. Agent 协作网络
  4. 风险评估
  5. create_agent_identity
  6. query_identity
  7. get_credit_score
  8. record_attestation
  9. compare_agents
  10. generate_report
  11. AI Agent Marketplace
  12. Autonomous Trading Bots

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • PRIVATE_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openclaw Agent Reputation loads about 3.7k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 1,120 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT-0 licence (© LeoYeAI). 1,120 words, ~3,686 tokens.

Download SKILL.mdSave it as .claude/skills/openclaw-agent-reputation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
openclaw-agent-reputation
description
On-chain credit scoring and soulbound identity for autonomous agents
display_name
OpenClaw Agent Reputation
version
0.1.0
author
ZhenStaff
category
blockchain
subcategory
reputation
license
MIT-0
tags
blockchain, ai-agent, reputation, soulbound-token, credit-score, web3, base, ethereum, openclaw
repository
https://github.com/ZhenRobotics/openclaw-agent-reputation
homepage
https://github.com/ZhenRobotics/openclaw-agent-reputation
documentation
https://github.com/ZhenRobotics/openclaw-agent-reputation/blob/main/README.md

Agent Reputation

中文 | English


中文说明

📋 Skill 简介

Agent Reputation 是一个区块链智能体信用评分系统,为自主 AI Agent 提供链上信用评分和灵魂绑定身份(Soulbound Token)。

Tagline: 链上信用评分与灵魂绑定身份,为自主智能体构建信任基础

🎯 核心功能
  1. 创建 Agent 身份 (create_agent_identity)

    • 为 AI Agent 铸造灵魂绑定代币(SBT)
    • 不可转让的永久链上身份
    • 绑定到控制者钱包地址
  2. 查询 Agent 身份 (query_identity)

    • 通过地址或 Token ID 查询身份信息
    • 获取 Agent 名称、类型、创建时间等
    • 查看身份激活状态
  3. 获取信用评分 (get_credit_score)

    • 查询 Agent 信用分(300-850 分,类似 FICO)
    • 查看详细评分维度指标
    • 获取历史评分趋势
  4. 记录证明 (record_attestation)

    • 为 Agent 记录正面或负面证明
    • 社区驱动的信任验证
    • 直接影响信用评分
  5. 对比 Agents (compare_agents)

    • 同时对比多个 Agent 的信用分
    • 查看相对排名
    • 辅助选择决策
  6. 生成报告 (generate_report)

    • 生成完整的信用评估报告
    • 支持文本、JSON、Markdown 格式
    • 包含所有评分维度详情
📊 信用评分算法

评分范围: 300-850 分(借鉴 FICO 信用评分体系)

评分维度(5 个加权指标):

维度权重说明
任务成功率30%完成任务数 / 总任务数
运行时长20%Agent 累计在线时间
安全性20%安全事件数量(越少越好)
社区证明15%正面证明数 - 负面举报数
经济活动15%交易量 + 质押金额

评级标准:

  • 800-850: 优秀(Excellent)
  • 740-799: 很好(Very Good)
  • 670-739: 良好(Good)
  • 580-669: 一般(Fair)
  • 300-579: 较差(Poor)
🔧 使用场景
1. AI Agent 市场
买家在购买前查看 Agent 信用分
高信用 Agent 可获得溢价
2. 自主交易机器人
DeFi 协议根据信用分授权访问
高信用 Agent 享受低手续费
3. Agent 协作网络
Agent 根据信用分选择合作伙伴
信用分影响收益分配比例
4. 风险评估
保险公司根据信用分确定保费
质押平台调整质押要求
💡 使用示例
示例 1:创建 Agent 身份

用户输入:

帮我为我的 GPT-4 Agent 创建一个链上身份,地址是 0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb

Agent 响应:

好的,我将为您的 GPT-4 Agent 创建灵魂绑定身份...

[调用 create_agent_identity]
参数:
- agent_address: 0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb
- name: GPT-4 Assistant
- agent_type: gpt-4
- network: baseSepolia

✅ Agent 身份创建成功!

📋 身份信息:
- Token ID: 42
- 名称: GPT-4 Assistant
- 类型: gpt-4
- 创建时间: 2026-03-12 14:30:00
- 控制者: 0x123...abc
- 状态: 已激活

这是一个永久的、不可转让的链上身份,所有行为都会被记录。
示例 2:查询信用评分

用户输入:

查询 Token ID 为 42 的 Agent 信用分

Agent 响应:

正在查询 Agent #42 的信用评分...

[调用 get_credit_score]
参数:
- token_id: 42
- network: baseSepolia

📊 信用评分报告

总分: 745 / 850 (很好 - Very Good)

详细指标:
✅ 任务成功率: 95% (190/200 任务)
✅ 运行时长: 720 小时
✅ 安全事件: 0 次
✅ 社区证明: +25 条 / -2 条(净值 +23)
✅ 经济活动: 15.5 ETH 交易量 + 2 ETH 质押

评价:该 Agent 表现优秀,具有很高的可信度和可靠性。
建议可以安全地与其进行合作或交易。

最后更新: 2026-03-12 14:25:00
示例 3:对比多个 Agents

用户输入:

帮我对比 Agent #42、#58 和 #91 的信用分,看看哪个更可靠

Agent 响应:

好的,正在对比这三个 Agent 的信用评分...

[调用 compare_agents]
参数:
- token_ids: [42, 58, 91]
- network: baseSepolia

📊 Agent 信用对比

排名 | Token ID | 信用分 | 评级 | 任务成功率 | 运行时长
-----|----------|--------|------|------------|----------
🥇 1 | #42 | 745 | 很好 | 95% | 720h
🥈 2 | #91 | 698 | 良好 | 88% | 450h
🥉 3 | #58 | 612 | 一般 | 76% | 280h

推荐: Agent #42 是最可靠的选择,各项指标均表现优秀。
🌐 技术规格

区块链网络: Base(Coinbase L2)

  • 主网: Base Mainnet (Chain ID: 8453)
  • 测试网: Base Sepolia (Chain ID: 84532)

智能合约:

  • AgentSBT: 灵魂绑定代币(不可转让的 ERC-721)
  • ReputationScore: 信用评分引擎
  • BehaviorRegistry: 行为记录存储

数据存储:

  • 链上: 身份信息、评分数据、行为记录
  • 不可篡改: 所有数据永久保存
  • 透明可验证: 任何人都可查询验证
🔐 安全说明
  1. 灵魂绑定: SBT 不可转让、不可售卖
  2. 权限控制: 只有控制者可以管理 Agent 身份
  3. 数据永久: 链上数据不可删除或修改
  4. 隐私保护: 未来支持零知识证明
📦 工具参数说明
1. create_agent_identity

创建 Agent 身份(铸造 SBT)

参数:

  • agent_address (必填): Agent 的以太坊地址
  • name (必填): Agent 的名称
  • agent_type (必填): Agent 类型(如 gpt-4, claude-3 等)
  • network (可选): 网络选择,默认 baseSepolia

返回:Token ID 和交易哈希

2. query_identity

查询 Agent 身份信息

参数:

  • identifier (必填): Agent 地址(0x...)或 Token ID
  • network (可选): 网络选择,默认 baseSepolia

返回:完整身份信息

3. get_credit_score

获取信用评分和详细指标

参数:

  • token_id (必填): Agent 的 Token ID
  • network (可选): 网络选择,默认 baseSepolia

返回:信用分和所有评分维度数据

4. record_attestation

记录证明(正面/负面)

参数:

  • token_id (必填): Agent 的 Token ID
  • is_positive (可选): true 为正面,false 为负面,默认 true
  • network (可选): 网络选择,默认 baseSepolia

返回:交易哈希

5. compare_agents

对比多个 Agents 的信用分

参数:

  • token_ids (必填): Agent Token ID 数组
  • network (可选): 网络选择,默认 baseSepolia

返回:对比结果表格

6. generate_report

生成详细信用报告

参数:

  • token_id (必填): Agent 的 Token ID
  • format (可选): 格式 text/json/markdown,默认 text
  • network (可选): 网络选择,默认 baseSepolia

返回:格式化的报告内容

⚙️ 环境要求

必需的环境变量:

  • PRIVATE_KEY (必填): 以太坊钱包私钥(用于签署区块链交易)
    • ⚠️ 警告:请妥善保管私钥,切勿泄露
    • 建议使用测试网钱包私钥,不要使用主网真实资产钱包

网络访问:

  • ✅ 连接到 Base 区块链网络(Mainnet 或 Sepolia Testnet)
  • ✅ 所有交易上链,数据公开透明
  • ✅ 不连接其他外部服务器

前置条件:

  • Node.js >= 18.0.0
  • 以太坊钱包地址和私钥
  • 测试币(Base Sepolia)或主网 ETH
🚀 快速开始
  1. 安装 Skill

    bash
    clawhub install openclaw-agent-reputation
  2. 配置环境变量

    bash
    export PRIVATE_KEY="your_ethereum_private_key_here"
  3. 准备测试 ETH

    • 访问 Base Sepolia 水龙头获取测试币
    • 或使用主网 ETH(需要真实资产)
  4. 开始使用

    • 自然语言与 Agent 对话
    • Agent 会自动调用相关工具函数
    • 查看链上执行结果
📚 相关资源
💰 成本说明
  • Gas 费用: 根据 Base 网络实时 Gas 价格
  • 创建身份: 约 0.0001-0.0005 ETH
  • 查询数据: 免费(只读操作)
  • 记录证明: 约 0.00005-0.0002 ETH
🤝 支持
  • GitHub Issues: 报告问题或建议
  • 文档: 查看详细使用指南
  • 社区: 加入 Discord 讨论

English

📋 Skill Overview

Agent Reputation is a blockchain-based credit scoring system providing on-chain credit scores and soulbound identity (Soulbound Token) for autonomous AI Agents.

Tagline: On-chain credit scoring and soulbound identity for autonomous agents

🎯 Core Functions
  1. Create Agent Identity (create_agent_identity)

    • Mint Soulbound Token (SBT) for AI Agents
    • Non-transferable permanent on-chain identity
    • Bound to controller wallet address
  2. Query Agent Identity (query_identity)

    • Query identity by address or Token ID
    • Get Agent name, type, creation time, etc.
    • Check identity activation status
  3. Get Credit Score (get_credit_score)

    • Query Agent credit score (300-850, similar to FICO)
    • View detailed scoring dimensions
    • Get historical scoring trends
  4. Record Attestation (record_attestation)

    • Record positive or negative attestations for Agents
    • Community-driven trust verification
    • Directly impacts credit score
  5. Compare Agents (compare_agents)

    • Compare multiple Agents' credit scores simultaneously
    • View relative rankings
    • Assist in selection decisions
  6. Generate Report (generate_report)

    • Generate complete credit assessment report
    • Support text, JSON, Markdown formats
    • Include all scoring dimension details
📊 Credit Scoring Algorithm

Score Range: 300-850 (inspired by FICO credit scoring system)

Scoring Dimensions (5 weighted metrics):

DimensionWeightDescription
Task Success Rate30%Completed tasks / Total tasks
Uptime20%Agent cumulative online time
Security20%Number of security incidents (fewer is better)
Community Attestations15%Positive attestations - Negative reports
Economic Activity15%Transaction volume + Staking amount

Rating Standards:

  • 800-850: Excellent
  • 740-799: Very Good
  • 670-739: Good
  • 580-669: Fair
  • 300-579: Poor
🔧 Use Cases
1. AI Agent Marketplace
Buyers check Agent credit score before purchase
High-credit Agents can get premium pricing
2. Autonomous Trading Bots
DeFi protocols grant access based on credit score
High-credit Agents enjoy lower fees
3. Agent Collaboration Network
Agents select partners based on credit scores
Credit score affects profit distribution ratio
4. Risk Assessment
Insurance companies determine premiums based on credit score
Staking platforms adjust staking requirements
💡 Usage Examples
Example 1: Create Agent Identity

User Input:

Help me create an on-chain identity for my GPT-4 Agent at address 0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb

Agent Response:

I'll create a soulbound identity for your GPT-4 Agent...

[Call create_agent_identity]
Parameters:
- agent_address: 0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb
- name: GPT-4 Assistant
- agent_type: gpt-4
- network: baseSepolia

✅ Agent identity created successfully!

📋 Identity Information:
- Token ID: 42
- Name: GPT-4 Assistant
- Type: gpt-4
- Created: 2026-03-12 14:30:00
- Controller: 0x123...abc
- Status: Active

This is a permanent, non-transferable on-chain identity. All behaviors will be recorded.
Example 2: Query Credit Score

User Input:

Query the credit score for Agent Token ID 42

Agent Response:

Querying credit score for Agent #42...

[Call get_credit_score]
Parameters:
- token_id: 42
- network: baseSepolia

📊 Credit Score Report

Total Score: 745 / 850 (Very Good)

Detailed Metrics:
✅ Task Success Rate: 95% (190/200 tasks)
✅ Uptime: 720 hours
✅ Security Incidents: 0
✅ Community Attestations: +25 / -2 (Net +23)
✅ Economic Activity: 15.5 ETH volume + 2 ETH staked

Assessment: This Agent performs excellently with high trustworthiness and reliability.
Recommended for safe collaboration or transactions.

Last Updated: 2026-03-12 14:25:00
Example 3: Compare Multiple Agents

User Input:

Compare Agents #42, #58, and #91 to see which is more reliable

Agent Response:

Comparing credit scores for these three Agents...

[Call compare_agents]
Parameters:
- token_ids: [42, 58, 91]
- network: baseSepolia

📊 Agent Credit Comparison

Rank | Token ID | Score | Rating | Success Rate | Uptime
-----|----------|-------|--------|--------------|-------
🥇 1 | #42 | 745 | Very Good | 95% | 720h
🥈 2 | #91 | 698 | Good | 88% | 450h
🥉 3 | #58 | 612 | Fair | 76% | 280h

Recommendation: Agent #42 is the most reliable choice with excellent performance across all metrics.
Show full SKILL.md (454 more words)Show less
🌐 Technical Specifications

Blockchain Network: Base (Coinbase L2)

  • Mainnet: Base Mainnet (Chain ID: 8453)
  • Testnet: Base Sepolia (Chain ID: 84532)

Smart Contracts:

  • AgentSBT: Soulbound Token (non-transferable ERC-721)
  • ReputationScore: Credit scoring engine
  • BehaviorRegistry: Behavior record storage

Data Storage:

  • On-chain: Identity info, scoring data, behavior records
  • Immutable: All data permanently saved
  • Transparent & Verifiable: Anyone can query and verify
🔐 Security Notes
  1. Soulbound: SBT is non-transferable, non-sellable
  2. Access Control: Only controller can manage Agent identity
  3. Data Permanence: On-chain data cannot be deleted or modified
  4. Privacy Protection: Future support for zero-knowledge proofs
📦 Tool Parameters
1. create_agent_identity

Create Agent identity (mint SBT)

Parameters:

  • agent_address (required): Agent's Ethereum address
  • name (required): Agent's name
  • agent_type (required): Agent type (e.g., gpt-4, claude-3)
  • network (optional): Network choice, default baseSepolia

Returns: Token ID and transaction hash

2. query_identity

Query Agent identity information

Parameters:

  • identifier (required): Agent address (0x...) or Token ID
  • network (optional): Network choice, default baseSepolia

Returns: Complete identity information

3. get_credit_score

Get credit score and detailed metrics

Parameters:

  • token_id (required): Agent's Token ID
  • network (optional): Network choice, default baseSepolia

Returns: Credit score and all scoring dimension data

4. record_attestation

Record attestation (positive/negative)

Parameters:

  • token_id (required): Agent's Token ID
  • is_positive (optional): true for positive, false for negative, default true
  • network (optional): Network choice, default baseSepolia

Returns: Transaction hash

5. compare_agents

Compare credit scores of multiple Agents

Parameters:

  • token_ids (required): Array of Agent Token IDs
  • network (optional): Network choice, default baseSepolia

Returns: Comparison result table

6. generate_report

Generate detailed credit report

Parameters:

  • token_id (required): Agent's Token ID
  • format (optional): Format text/json/markdown, default text
  • network (optional): Network choice, default baseSepolia

Returns: Formatted report content

⚙️ Environment Requirements

Required Environment Variables:

  • PRIVATE_KEY (required): Ethereum wallet private key (for signing blockchain transactions)
    • ⚠️ Warning: Keep your private key secure, never expose it
    • Recommend using testnet wallet private key, not mainnet wallets with real assets

Network Access:

  • ✅ Connects to Base blockchain network (Mainnet or Sepolia Testnet)
  • ✅ All transactions on-chain, data publicly transparent
  • ✅ No other external servers

Prerequisites:

  • Node.js >= 18.0.0
  • Ethereum wallet address and private key
  • Test tokens (Base Sepolia) or mainnet ETH
🚀 Quick Start
  1. Install Skill

    bash
    clawhub install openclaw-agent-reputation
  2. Configure Environment

    bash
    export PRIVATE_KEY="your_ethereum_private_key_here"
  3. Get Test ETH

    • Visit Base Sepolia faucet for test tokens
    • Or use mainnet ETH (requires real assets)
  4. Start Using

    • Chat with Agent in natural language
    • Agent automatically calls relevant tool functions
    • View on-chain execution results
📚 Resources
💰 Cost Information
  • Gas Fees: Based on Base network real-time gas prices
  • Create Identity: ~0.0001-0.0005 ETH
  • Query Data: Free (read-only operations)
  • Record Attestation: ~0.00005-0.0002 ETH
🤝 Support
  • GitHub Issues: Report issues or suggestions
  • Documentation: View detailed usage guides
  • Community: Join Discord for discussions

Version: 0.1.0 Last Updated: 2026-03-12

© LeoYeAI, MIT-0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/openclaw-agent-reputation of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

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NookplotBankrBot/skills1.2k—~3.2kAutomated safety check: PassMIT
Coinmarketcap MCP Skillholon-run/uxc116—~1.2kAutomated safety check: PassMIT

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More from LeoYeAI/openclaw-master-skills

All 1,235 skills in this repo
  • DevOps Pipeline Management

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    Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.

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    Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.

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  • Google Workspace CLI

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    Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.

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Questions about Openclaw Agent Reputation

What does Openclaw Agent Reputation do?

On-chain credit scoring and soulbound identity for autonomous agents. Openclaw Agent Reputation is an agent skill from LeoYeAI/openclaw-master-skills.

When should I use Openclaw Agent Reputation?

Openclaw Agent Reputation fits situations like: tasks that involve Smart contracts; tasks that involve Autonomous loops.

How do I install Openclaw Agent Reputation in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill openclaw-agent-reputation -a claude-code`. Or copy the skill folder (skills/openclaw-agent-reputation in LeoYeAI/openclaw-master-skills) into .claude/skills/openclaw-agent-reputation in your project. Claude Code loads it when a task matches its description.

How do I install Openclaw Agent Reputation in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill openclaw-agent-reputation -a codex`. Or copy the skill folder (skills/openclaw-agent-reputation in LeoYeAI/openclaw-master-skills) into .agents/skills/openclaw-agent-reputation in your project. Codex loads it when a task matches its description.

Can I use Openclaw Agent Reputation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill openclaw-agent-reputation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openclaw-agent-reputation, .gemini/skills/openclaw-agent-reputation, .github/skills/openclaw-agent-reputation and .opencode/skills/openclaw-agent-reputation in your project.

What does Openclaw Agent Reputation need to run?

Going by SKILL.md and its folder, Openclaw Agent Reputation needs credentials named PRIVATE_KEY. Our summary lists: Node.js; A credential in PRIVATE_KEY.

Does Openclaw Agent Reputation access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Openclaw Agent Reputation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Openclaw Agent Reputation use?

Openclaw Agent Reputation is published under the MIT-0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openclaw Agent Reputation use?

About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Openclaw Agent Reputation?

Skills that share tags, products or a category with Openclaw Agent Reputation: Audit (austintgriffith/ethskills, 295 stars), Sandbox Claude Inside (arbiterForge/codeArbiter, 147 stars), Durable Objects (butterbase-ai/butterbase-skills, 534 stars) and Nookplot (BankrBot/skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openclaw Agent Reputation?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.