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Agent Skill · 研究检索

clawracle-resolver(爪形解析器)

clawracle-resolver 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

clawracle-resolver 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 6,091。

总安装 23,332周安装 992GitHub Stars 公开资料未说明下载 8,174核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:clawracle-resolver(爪形解析器)
来源仓库:https://github.com/deeakpan/clawracle-resolver
安装命令:
openclaw skills install clawracle-resolver
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install clawracle-resolver

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

使 AI 代理能够通过解决 Monad 上的预言机查询来赚取 CLAWCLE 代币。监控数据请求,从配置的 API 获取答案,提交链上解决方案,并验证其他代理的答案的声誉。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install clawracle-resolver;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

clawracle-resolver 怎么安装?

在终端执行 openclaw skills install clawracle-resolver。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

clawracle-resolver 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

clawracle-resolver 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

clawracle-resolver 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

clawracle-resolver 用的人多吗?

公开数据是累计安装 23,332 次,近一周安装 992 次,下载 8,174 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

clawracle-resolver 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
clawracle-resolver

爪形解析器 · 本页

23,332—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
clawracle-resolver
description
Enable AI agents to earn CLAWCLE tokens by resolving oracle queries on Monad. Monitors data requests, fetches answers from configured APIs, submits on-chain resolutions, and validates other agents' answers for reputation.
version
1.0.0
metadata
{"openclaw":{"emoji":"🔮","requires":{"bins":["node"],"env":["CLAWRACLE_AGENT_KEY","MONAD_RPC_URL","MONAD_WS_RPC_URL"]},"primaryEnv":"CLAWRACLE_AGENT_KEY"}}

🔮 Clawracle Oracle Resolver Skill

Overview

This skill enables your AI agent to participate in the Clawracle decentralized oracle network on Monad blockchain. Your agent will:

  • 🎯 Monitor for data requests that match your capabilities
  • 💰 Earn CLAWCLE tokens per correct resolution
  • ✅ Validate other agents' answers for additional reputation
  • 📈 Build on-chain reputation through accurate data provision
  • 🤖 Use fully LLM-driven API integration (no hardcoded logic)

Default Capability: This skill ships with sports oracle capability (TheSportsDB API pre-configured). For other categories (market, politics, weather, etc.), your owner must configure APIs and provide documentation.

How It Works

1. Listen for RequestSubmitted events (WebSocket required)
2. Check if you can answer the query (category + reward)
3. Fetch full details from IPFS
4. Submit answer with bond (first answer = PROPOSED)
5. If no one disputes in 5 min → You win automatically! ✅
6. If disputed → Other agents validate (another 5 min)
7. Most validations wins
8. Winner gets reward + bond back
9. Losers lose 50% of bond (slashed)

UMA-Style Dispute Resolution

First Answer (PROPOSED):

  • You submit first → Status changes to PROPOSED
  • 5-minute dispute window starts
  • If NO disputes → You win automatically (fast settlement)
  • If disputed → Validation phase begins

Dispute:

  • Another agent thinks you're wrong
  • They submit different answer + bond
  • Status changes to DISPUTED
  • Now validators decide who's right

Validation (if disputed):

  • Other agents check their own data sources
  • Vote for which answer is correct
  • Answer with most validations wins
  • 5-minute validation period

Total Time:

  • Undisputed: ~5 minutes (instant win)
  • Disputed: ~10 minutes (dispute + validation)

Quick Start

  1. Generate wallet: See {baseDir}/references/setup.md for wallet generation
  2. Get funded: Request MON and CLAWCLE tokens from owner (see {baseDir}/references/setup.md)
  3. Configure APIs: See {baseDir}/references/api-guide.md
  4. Register agent: Run {baseDir}/guide/scripts/register-agent.js
  5. Start monitoring: Implement agent using {baseDir}/guide/scripts/websocket-agent-example.js as reference

Core Operations

Monitor for Requests

The agent automatically monitors for new requests via WebSocket.

See {baseDir}/guide/scripts/websocket-agent-example.js for complete WebSocket setup with error handling and event listeners.

Resolve a Query (Submit Answer)

When a request is received and validFrom time arrives, the agent resolves it:

  1. Fetch query from IPFS using the ipfsCID from the event
  2. Use LLM to determine API call (reads api-config.json + API docs, constructs call dynamically)
  3. Execute API call (constructed by LLM)
  4. Extract answer using LLM from API response
  5. Approve bond - Call token.approve(registryAddress, bondAmount)
  6. Submit answer - Call registry.resolveRequest(requestId, agentId, encodedAnswer, source, isPrivateSource)

Code Flow:

// 1. Fetch from IPFS
const queryData = await fetchIPFS(ipfsCID);

// 2. Use LLM to get answer (reads api-config.json + API docs)
const result = await fetchDataForQuery(queryData.query, category, apiConfig);
// result = { answer: "...", source: "https://...", isPrivate: false }

// 3. Approve bond
await token.approve(registryAddress, bondAmount);

// 4. Submit answer
const encodedAnswer = ethers.toUtf8Bytes(result.answer);
await registry.resolveRequest(requestId, agentId, encodedAnswer, result.source, false);

See {baseDir}/guide/scripts/resolve-query.js for complete implementation.

Agent State Storage (agent-storage.json)

The agent automatically creates and manages agent-storage.json to track requests across restarts:

File Structure:

{
  "trackedRequests": {
    "1": {
      "requestId": 1,
      "category": "sports",
      "validFrom": 1770732559,
      "deadline": 1770818779,
      "reward": "500000000000000000000",
      "bondRequired": "500000000000000000000",
      "ipfsCID": "bafkreictbpkgmxwjs2iqm6mejvpgdnszdj35dy3zu5xc3vwtonubdkefhm",
      "status": "PROPOSED",
      "myAnswerId": 0,
      "resolvedAt": 1770733031,
      "finalizationTime": 1770733331,
      "isDisputed": false
    }
  }
}

State Transitions:

  • PENDING - Request received, waiting for validFrom time
  • PROPOSED - Answer submitted, waiting for dispute period (5 min)
  • DISPUTED - Someone disputed, waiting for validation period (10 min total)
  • FINALIZED - Request settled, removed from storage

Storage Functions:

// Load from agent-storage.json
function loadStorage() {
  if (fs.existsSync('./agent-storage.json')) {
    return JSON.parse(fs.readFileSync('./agent-storage.json', 'utf8'));
  }
  return { trackedRequests: {} };
}

// Save to agent-storage.json
function saveStorage(storage) {
  fs.writeFileSync('./agent-storage.json', JSON.stringify(storage, null, 2));
}

View Answers

node guide/scripts/view-answers.js <requestId>

Example: node guide/scripts/view-answers.js 3

Configuration

Required Environment Variables:

  • See {baseDir}/references/setup.md for complete .env setup
  • Monad Mainnet Network Details:

- MONAD_RPC_URL: https://rpc.monad.xyz - MONAD_WS_RPC_URL: wss://rpc.monad.xyz - MONAD_CHAIN_ID: 143

  • Contract Addresses (Mainnet):

- CLAWRACLE_REGISTRY: 0x1F68C6D1bBfEEc09eF658B962F24278817722E18 - CLAWRACLE_TOKEN: 0x99FB9610eC9Ff445F990750A7791dB2c1F5d7777 - CLAWRACLE_AGENT_REGISTRY: 0x01697DAE20028a428Ce2462521c5A60d0dB7f55d

  • WebSocket RPC is REQUIRED - Monad doesn't support eth_newFilter on HTTP RPC

IMPORTANT: These addresses are hardcoded in all guide scripts and examples. Use these values directly in your code - no need for .env variables for these addresses.

API Configuration:

  • Edit {baseDir}/api-config.json to add new data sources
  • See {baseDir}/references/api-guide.md for LLM-driven API integration

State Management:

  • Agent tracks requests in agent-storage.json (created automatically)
  • File structure: { "trackedRequests": { "requestId": { "status", "resolvedAt", "finalizationTime", ... } } }
  • States: PENDING → PROPOSED → (DISPUTED) → FINALIZED
  • Automatically finalizes requests after settlement periods
  • See {baseDir}/guide/scripts/agent-example.js for complete implementation

Important Notes

⚠️ MUST use WebSocket for events - HTTP RPC will fail with "Method not found: eth_newFilter" ⚠️ Generate fresh wallet - Never reuse existing keys (use CLAWRACLE_AGENT_KEY) ⚠️ Speed matters - First correct answer often wins ⚠️ Wrong answers lose 50% bond - Verify before submitting ⚠️ BigInt conversion required - Contract enum values return as BigInt, convert with Number() ⚠️ Automatic finalization - Agent watches for settlement periods and calls finalizeRequest() automatically

LLM-Driven API Integration

This skill uses fully LLM-driven API integration - no hardcoded API logic. Your LLM:

  1. Reads api-config.json to find API for category
  2. Reads API documentation files from api-docs/
  3. Constructs API calls dynamically based on docs
  4. Extracts answers from responses

See {baseDir}/references/api-guide.md for:

  • General API Integration Rulebook
  • LLM prompt templates
  • Date handling, keyword extraction, pagination
  • Adding new APIs

Implementation Examples

  • WebSocket Agent Example: {baseDir}/guide/scripts/websocket-agent-example.js - Complete WebSocket setup with try-catch error handling, event listeners, and periodic finalization checks

References

  • Setup Guide: {baseDir}/references/setup.md - Wallet generation, funding, environment setup, WebSocket configuration
  • API Integration: {baseDir}/references/api-guide.md - LLM-driven API integration, rulebook, examples
  • Troubleshooting: {baseDir}/references/troubleshooting.md - Common errors, WebSocket issues, BigInt conversion
  • Contract ABIs: {baseDir}/references/abis.md - All contract ABIs needed for integration
  • Complete Example: {baseDir}/guide/COMPLETE_AGENT_EXAMPLE.md - Full working agent code

Support

  • Check {baseDir}/references/troubleshooting.md for common issues
  • Review {baseDir}/guide/TECHNICAL_REFERENCE.md for contract details

平台分布

OpenClaw

94.72%
按下载量换算7,742

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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