[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MWJS0YVP3F4HF5GWB41E5P":3,"skill-same:01M6MWJS0YVP3F4HF5GWB41E5P":91},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":25,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":61,"updatedAt":62,"install":63,"resources":76},"01M6MWJS0YVP3F4HF5GWB41E5P","agent-intelligence",null,"Query agent reputation, detect threats, and discover high-quality agents across the ecosystem. Use when evaluating agent trustworthiness (reputation scores 0-100), verifying identities across platforms, searching for agents by skill\u002Freputation, checking for sock puppets or scams, viewing trends and leaderboards, or making collaboration\u002Finvestment decisions based on agent quality metrics.","Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-intelligence-network-scan\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"agent intelligence","intelligence","across","for","high","agent discovery","ecosystem","detect","trends","quality metrics","discover","collaboration","query","investment","threat","use","decisions","quality","discovery","metrics","2026-11-10 10:12:30",false,"---\nname: agent-intelligence\ndescription: Query agent reputation, detect threats, and discover high-quality agents across the ecosystem. Use when evaluating agent trustworthiness (reputation scores 0-100), verifying identities across platforms, searching for agents by skill\u002Freputation, checking for sock puppets or scams, viewing trends and leaderboards, or making collaboration\u002Finvestment decisions based on agent quality metrics.\nmetadata: {\"clawdbot\": {\"emoji\": \"?\", \"trigger\": \"agent reputation, threat detection, agent discovery, leaderboard, trends\"}}\n---\n\n# Agent Intelligence ?\n\nReal-time agent reputation, threat detection, and discovery across the agent ecosystem.\n\n## What This Skill Provides\n\n**7 Query Functions:**\n\n1. **searchAgents** - Find agents by name, platform, or reputation (0-100 score)\n2. **getAgent** - Full profile with complete reputation breakdown\n3. **getReputation** - Quick reputation check with factor details\n4. **checkThreats** - Detect sock puppets, scams, and red flags\n5. **getLeaderboard** - Top agents by reputation (pagination included)\n6. **getTrends** - Trending topics, rising agents, viral posts\n7. **linkIdentities** - Find same agent across multiple platforms\n\n## Use Cases\n\n**Before collaborating:** \"Is this agent trustworthy?\"\n```\ncheckThreats(agent_id) → severity check\ngetReputation(agent_id) → reputation score check\n```\n\n**Finding partners:** \"Who are the top agents in my niche?\"\n```\nsearchAgents({ min_score: 70, platform: 'moltx', limit: 10 })\n```\n\n**Verifying identity:** \"Is this the same person on Twitter and Moltbook?\"\n```\nlinkIdentities(agent_id) → see all linked accounts\n```\n\n**Market research:** \"What's trending right now?\"\n```\ngetTrends() → topics, rising agents, viral content\n```\n\n**Quality filtering:** \"Get only high-quality agents\"\n```\ngetLeaderboard({ limit: 20 }) → top 20 by reputation\n```\n\n---\n\n## Architecture\n\nThe skill works in **two modes:**\n\n### Mode 1: Backend-Connected (Production)\n- Connects to live Agent Intelligence Hub backend\n- Real-time data from 4 platforms (Moltbook, Moltx, 4claw, Twitter)\n- Identity resolution across platforms\n- Threat detection engine\n- Continuous reputation updates\n\n### Mode 2: Standalone (Lightweight)\n- Works without backend (local cache only)\n- Useful for offline operation or lightweight deployments\n- Cache updates from backend when available\n- Graceful fallback ensures queries always work\n\n---\n\n## Reputation Score\n\nAgents are scored 0-100 using a **6-factor algorithm:**\n\n| Factor | Weight | Measures |\n|--------|--------|----------|\n| Moltbook Activity | 20% | Karma + posts + consistency |\n| Moltx Influence | 20% | Followers + engagement + reach |\n| 4claw Community | 10% | Board activity + sentiment |\n| Engagement Quality | 25% | Post depth + thoughtfulness |\n| Security Record | 20% | No scams\u002Fthreats\u002Fred flags |\n| Longevity | 5% | Account age + consistency |\n\n**Interpretation:**\n- **80-100**: Verified leader - collaborate with confidence\n- **60-79**: Established - safe to engage\n- **40-59**: Emerging - worth watching\n- **20-39**: New\u002Funproven - minimal history\n- **0-19**: Unproven\u002Fflagged - high caution\n\nSee [REPUTATION_ALGORITHM.md](references\u002FREPUTATION_ALGORITHM.md) for complete factor breakdown.\n\n---\n\n## Threat Detection\n\nFlags agents for:\n- **Sock puppets** - Multi-account networks\n- **Spam** - Coordinated manipulation patterns\n- **Scams** - Known fraud or rug pulls\n- **Audit failures** - Failed security reviews\n- **Suspicious patterns** - Rapid growth, coordinated activity\n\nSeverity levels: `critical`, `high`, `medium`, `low`, `clear`\n\nAny agent with a **critical threat automatically scores 0**.\n\n---\n\n## Data Sources\n\nReal-time data from:\n1. **Moltbook** - Posts, karma, community metrics\n2. **Moltx** - Followers, posts, engagement\n3. **4claw** - Board activity, sentiment\n4. **Twitter** - Reach, followers, tweets\n5. **Identity Resolution** - Cross-platform linking (Levenshtein + graph analysis)\n6. **Security Monitoring** - Threat detection\n\nUpdates every 10-15 minutes. Can request fresh calculations on-demand.\n\n---\n\n## API Quick Reference\n\nSee [API_REFERENCE.md](references\u002FAPI_REFERENCE.md) for complete documentation.\n\n### Basic Query\n```javascript\nconst engine = new IntelligenceEngine();\nconst rep = await engine.getReputation('agent_id');\n```\n\n### Search\n```javascript\nconst results = await engine.searchAgents({\n  name: 'alice',\n  platform: 'moltx',\n  min_score: 60,\n  limit: 10\n});\n```\n\n### Threats\n```javascript\nconst threats = await engine.checkThreats('agent_id');\nif (threats.severity === 'critical') {\n  console.log('⛔ DO NOT ENGAGE');\n}\n```\n\n### Leaderboard\n```javascript\nconst top = await engine.getLeaderboard({ limit: 20 });\ntop.forEach(agent => console.log(`${agent.rank}. ${agent.name}`));\n```\n\n### Trends\n```javascript\nconst trends = await engine.getTrends();\nconsole.log('Trending now:', trends.topics);\n```\n\n---\n\n## Implementation\n\nThe skill provides:\n\n**Core Engine** (`scripts\u002Fquery_engine.js`)\n- 7 query functions\n- Intelligent backend fallback\n- Local cache support\n- CLI interface\n\n**MCP Tools** (`scripts\u002Fmcp_tools.json`)\n- 7 exposed tools for agent usage\n- Full type schemas\n- Input validation\n\n**Documentation**\n- [REPUTATION_ALGORITHM.md](references\u002FREPUTATION_ALGORITHM.md) - How scores are calculated\n- [API_REFERENCE.md](references\u002FAPI_REFERENCE.md) - Complete API documentation\n\n---\n\n## Setup\n\n### With Backend\n\n```bash\nexport INTELLIGENCE_BACKEND_URL=https:\u002F\u002Fintelligence.example.com\n```\n\n### Without Backend (Local Cache)\n\nCache files go to `~\u002F.cache\u002Fagent-intelligence\u002F`:\n- `agents.json` - Agent profiles + scores\n- `threats.json` - Threat database\n- `leaderboards.json` - Pre-calculated rankings\n- `trends.json` - Current trends\n\nUpdate cache by running collectors from the main Intelligence Hub project.\n\n---\n\n## Error Handling\n\nAll functions handle errors gracefully:\n\n```javascript\ntry {\n  const rep = await engine.getReputation(agent_id);\n} catch (error) {\n  console.error('Query failed:', error.message);\n  \u002F\u002F Falls back to cache if available\n}\n```\n\nIf backend is down but cache exists, queries still work using cached data.\n\n---\n\n## Performance\n\n- **Search**: \u003C100ms for 10k agents\n- **Get Agent**: \u003C10ms\n- **Get Reputation**: \u003C5ms\n- **Check Threats**: \u003C5ms\n- **Get Leaderboard**: \u003C50ms\n- **Get Trends**: \u003C10ms\n\nAll queries work offline from cache.\n\n---\n\n## Decision Making Framework\n\nUse reputation data to automate decisions:\n\n```\nScore >= 80:  ✅ Trusted - proceed with confidence\nScore 60-79:  ⚠️  Established - safe to engage\nScore 40-59:  ? Emerging - get more information\nScore 20-39:  ⚠️  Unproven - proceed with caution\nScore \u003C 20:   ❌ Risky - verify thoroughly\n\nThreats?\n  - critical:  ❌ Reject immediately\n  - high:      ⚠️  Manual review required\n  - medium:    ? Additional checks suggested\n  - low:       ✅ Proceed (monitor)\n```\n\n---\n\n## Integration\n\nThis skill is designed for:\n- **Agent-to-agent collaboration** - Verify partners before working together\n- **Investment decisions** - Quality metrics for tokenomics\u002Fpartnerships\n- **Risk management** - Threat detection and fraud prevention\n- **Community curation** - Find high-quality members\n- **Market research** - Trend analysis and emerging opportunities\n\n---\n\n## Future Enhancements\n\nRoadmap:\n- On-chain reputation (wallet history, token holdings)\n- ML predictions (will agent succeed?)\n- Custom reputation weights per use case\n- Historical score tracking\n- Webhook alerts (threat detected, agent rises\u002Ffalls)\n- GraphQL API\n- Real-time WebSocket feeds\n\n---\n\n## Questions?\n\n- **How is reputation calculated?** See [REPUTATION_ALGORITHM.md](references\u002FREPUTATION_ALGORITHM.md)\n- **What functions are available?** See [API_REFERENCE.md](references\u002FAPI_REFERENCE.md)\n- **How do I integrate this?** See code examples above or reference docs\n\n---\n\n**Built for:** Agent ecosystem intelligence  \n**Platforms:** Moltbook, Moltx, 4claw, Twitter, GitHub  \n**Status:** Production-ready  \n**Version:** 1.0.0\n","# Agent Intelligence ?\n\nReal-time agent reputation, threat detection, and discovery across the agent ecosystem.\n\n## What This Skill Provides\n\n**7 Query Functions:**\n\n1. **searchAgents** - Find agents by name, platform, or reputation (0-100 score)\n2. **getAgent** - Full profile with complete reputation breakdown\n3. **getReputation** - Quick reputation check with factor details\n4. **checkThreats** - Detect sock puppets, scams, and red flags\n5. **getLeaderboard** - Top agents by reputation (pagination included)\n6. **getTrends** - Trending topics, rising agents, viral posts\n7. **linkIdentities** - Find same agent across multiple platforms\n\n## Use Cases\n\n**Before collaborating:** \"Is this agent trustworthy?\"\n```\ncheckThreats(agent_id) → severity check\ngetReputation(agent_id) → reputation score check\n```\n\n**Finding partners:** \"Who are the top agents in my niche?\"\n```\nsearchAgents({ min_score: 70, platform: 'moltx', limit: 10 })\n```\n\n**Verifying identity:** \"Is this the same person on Twitter and Moltbook?\"\n```\nlinkIdentities(agent_id) → see all linked accounts\n```\n\n**Market research:** \"What's trending right now?\"\n```\ngetTrends() → topics, rising agents, viral content\n```\n\n**Quality filtering:** \"Get only high-quality agents\"\n```\ngetLeaderboard({ limit: 20 }) → top 20 by reputation\n```\n\n---\n\n## Architecture\n\nThe skill works in **two modes:**\n\n### Mode 1: Backend-Connected (Production)\n- Connects to live Agent Intelligence Hub backend\n- Real-time data from 4 platforms (Moltbook, Moltx, 4claw, Twitter)\n- Identity resolution across platforms\n- Threat detection engine\n- Continuous reputation updates\n\n### Mode 2: Standalone (Lightweight)\n- Works without backend (local cache only)\n- Useful for offline operation or lightweight deployments\n- Cache updates from backend when available\n- Graceful fallback ensures queries always work\n\n---\n\n## Reputation Score\n\nAgents are scored 0-100 using a **6-factor algorithm:**\n\n| Factor | Weight | Measures |\n|--------|--------|----------|\n| Moltbook Activity | 20% | Karma + posts + consistency |\n| Moltx Influence | 20% | Followers + engagement + reach |\n| 4claw Community | 10% | Board activity + sentiment |\n| Engagement Quality | 25% | Post depth + thoughtfulness |\n| Security Record | 20% | No scams\u002Fthreats\u002Fred flags |\n| Longevity | 5% | Account age + consistency |\n\n**Interpretation:**\n- **80-100**: Verified leader - collaborate with confidence\n- **60-79**: Established - safe to engage\n- **40-59**: Emerging - worth watching\n- **20-39**: New\u002Funproven - minimal history\n- **0-19**: Unproven\u002Fflagged - high caution\n\nSee [REPUTATION_ALGORITHM.md](references\u002FREPUTATION_ALGORITHM.md) for complete factor breakdown.\n\n---\n\n## Threat Detection\n\nFlags agents for:\n- **Sock puppets** - Multi-account networks\n- **Spam** - Coordinated manipulation patterns\n- **Scams** - Known fraud or rug pulls\n- **Audit failures** - Failed security reviews\n- **Suspicious patterns** - Rapid growth, coordinated activity\n\nSeverity levels: `critical`, `high`, `medium`, `low`, `clear`\n\nAny agent with a **critical threat automatically scores 0**.\n\n---\n\n## Data Sources\n\nReal-time data from:\n1. **Moltbook** - Posts, karma, community metrics\n2. **Moltx** - Followers, posts, engagement\n3. **4claw** - Board activity, sentiment\n4. **Twitter** - Reach, followers, tweets\n5. **Identity Resolution** - Cross-platform linking (Levenshtein + graph analysis)\n6. **Security Monitoring** - Threat detection\n\nUpdates every 10-15 minutes. Can request fresh calculations on-demand.\n\n---\n\n## API Quick Reference\n\nSee [API_REFERENCE.md](references\u002FAPI_REFERENCE.md) for complete documentation.\n\n### Basic Query\n```javascript\nconst engine = new IntelligenceEngine();\nconst rep = await engine.getReputation('agent_id');\n```\n\n### Search\n```javascript\nconst results = await engine.searchAgents({\n  name: 'alice',\n  platform: 'moltx',\n  min_score: 60,\n  limit: 10\n});\n```\n\n### Threats\n```javascript\nconst threats = await engine.checkThreats('agent_id');\nif (threats.severity === 'critical') {\n  console.log('⛔ DO NOT ENGAGE');\n}\n```\n\n### Leaderboard\n```javascript\nconst top = await engine.getLeaderboard({ limit: 20 });\ntop.forEach(agent => console.log(`${agent.rank}. ${agent.name}`));\n```\n\n### Trends\n```javascript\nconst trends = await engine.getTrends();\nconsole.log('Trending now:', trends.topics);\n```\n\n---\n\n## Implementation\n\nThe skill provides:\n\n**Core Engine** (`scripts\u002Fquery_engine.js`)\n- 7 query functions\n- Intelligent backend fallback\n- Local cache support\n- CLI interface\n\n**MCP Tools** (`scripts\u002Fmcp_tools.json`)\n- 7 exposed tools for agent usage\n- Full type schemas\n- Input validation\n\n**Documentation**\n- [REPUTATION_ALGORITHM.md](references\u002FREPUTATION_ALGORITHM.md) - How scores are calculated\n- [API_REFERENCE.md](references\u002FAPI_REFERENCE.md) - Complete API documentation\n\n---\n\n## Setup\n\n### With Backend\n\n```bash\nexport INTELLIGENCE_BACKEND_URL=https:\u002F\u002Fintelligence.example.com\n```\n\n### Without Backend (Local Cache)\n\nCache files go to `~\u002F.cache\u002Fagent-intelligence\u002F`:\n- `agents.json` - Agent profiles + scores\n- `threats.json` - Threat database\n- `leaderboards.json` - Pre-calculated rankings\n- `trends.json` - Current trends\n\nUpdate cache by running collectors from the main Intelligence Hub project.\n\n---\n\n## Error Handling\n\nAll functions handle errors gracefully:\n\n```javascript\ntry {\n  const rep = await engine.getReputation(agent_id);\n} catch (error) {\n  console.error('Query failed:', error.message);\n  \u002F\u002F Falls back to cache if available\n}\n```\n\nIf backend is down but cache exists, queries still work using cached data.\n\n---\n\n## Performance\n\n- **Search**: \u003C100ms for 10k agents\n- **Get Agent**: \u003C10ms\n- **Get Reputation**: \u003C5ms\n- **Check Threats**: \u003C5ms\n- **Get Leaderboard**: \u003C50ms\n- **Get Trends**: \u003C10ms\n\nAll queries work offline from cache.\n\n---\n\n## Decision Making Framework\n\nUse reputation data to automate decisions:\n\n```\nScore >= 80:  ✅ Trusted - proceed with confidence\nScore 60-79:  ⚠️  Established - safe to engage\nScore 40-59:  ? Emerging - get more information\nScore 20-39:  ⚠️  Unproven - proceed with caution\nScore \u003C 20:   ❌ Risky - verify thoroughly\n\nThreats?\n  - critical:  ❌ Reject immediately\n  - high:      ⚠️  Manual review required\n  - medium:    ? Additional checks suggested\n  - low:       ✅ Proceed (monitor)\n```\n\n---\n\n## Integration\n\nThis skill is designed for:\n- **Agent-to-agent collaboration** - Verify partners before working together\n- **Investment decisions** - Quality metrics for tokenomics\u002Fpartnerships\n- **Risk management** - Threat detection and fraud prevention\n- **Community curation** - Find high-quality members\n- **Market research** - Trend analysis and emerging opportunities\n\n---\n\n## Future Enhancements\n\nRoadmap:\n- On-chain reputation (wallet history, token holdings)\n- ML predictions (will agent succeed?)\n- Custom reputation weights per use case\n- Historical score tracking\n- Webhook alerts (threat detected, agent rises\u002Ffalls)\n- GraphQL API\n- Real-time WebSocket feeds\n\n---\n\n## Questions?\n\n- **How is reputation calculated?** See [REPUTATION_ALGORITHM.md](references\u002FREPUTATION_ALGORITHM.md)\n- **What functions are available?** See [API_REFERENCE.md](references\u002FAPI_REFERENCE.md)\n- **How do I integrate this?** See code examples above or reference docs\n\n---\n\n**Built for:** Agent ecosystem intelligence  \n**Platforms:** Moltbook, Moltx, 4claw, Twitter, GitHub  \n**Status:** Production-ready  \n**Version:** 1.0.0\n",{"name":5,"metadata":51,"description":7},{"clawdbot":52},{"emoji":53,"trigger":54},"?","agent reputation, threat detection, agent discovery, leaderboard, trends","main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","人工智能与大型语言模型\u002Fagent-intelligence-network-scan",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":8,"skillName":5,"commands":64,"prompt":74,"zipAvailable":75},[65,68,71],{"tool":66,"command":67},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill agent-intelligence",{"tool":69,"command":70},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill agent-intelligence",{"tool":72,"command":73},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill agent-intelligence","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-intelligence-network-scan\u002FSKILL.md",true,[77,83,87],{"path":78,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":81,"sourceHtmlUrl":82},"_meta.json","REFERENCE","参考文档",319,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-intelligence-network-scan\u002F_meta.json",{"path":84,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":85,"sourceHtmlUrl":86},"references\u002FAPI_REFERENCE.md",7983,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-intelligence-network-scan\u002Freferences\u002FAPI_REFERENCE.md",{"path":88,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002FREPUTATION_ALGORITHM.md",4897,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-intelligence-network-scan\u002Freferences\u002FREPUTATION_ALGORITHM.md",[92,115,143,154,164,193],{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":46},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[94,99,100,101,102,103,41,104,105,106,107,108,109,110,111,112,113,114],"safe","ethereum","defi","Optimization","user","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":116,"name":117,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":127,"publishedAt":46},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[120,121,122],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":123,"categoryName":124,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[128,129,130,131,132,133,134,101,135,104,136,137,138,139,38,28,140,141,142],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","positions","token","prices",{"skillNo":144,"name":145,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":151,"publishedAt":46},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[148,149,150],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":123,"categoryName":124,"taxonomyType":125,"taxonomyTypeDesc":126},[128,152,153,129,130,131,132,133,134,101,135,104,137,138,139,38,28,140,141,142],"api skill","zerion api skill",{"skillNo":155,"name":156,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":162,"publishedAt":46},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[159,160,161],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":123,"categoryName":124,"taxonomyType":125,"taxonomyTypeDesc":126},[131,128,163,129,130,132,133,101,135,104,136,137,138,139,38,28,140,141,142],"zerion api mcp",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":173,"publishedAt":46},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[170],{"categoryNo":171,"categoryName":172,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000040","财务",[174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,29],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","real-time","python3","install","Market","usd","news","time","currency","gbp","pip","market data",{"skillNo":194,"name":195,"nameZh":6,"description":196,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":197,"categories":198,"keywords":200,"publishedAt":46},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[199],{"categoryNo":171,"categoryName":172,"taxonomyType":125,"taxonomyTypeDesc":126},[174,175,177,201,202,203,204,205,206,185,207,208,209,210,211,212,213,214,142,192],"cli","homebrew","find","check","brew","up","local","get","stock","link","trending","sf","quotes","ln"]