[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ET4NRPDYQAJ0DPWX893MYM":3,"skill-same:01M6ET4NRPDYQAJ0DPWX893MYM":71},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":52,"ownerHtmlUrl":53,"ownerBlogUrl":54,"ownerDescription":55,"updatedAt":56,"install":57,"resources":70},"01M6ET4NRPDYQAJ0DPWX893MYM","trustlayer-sybil-scanner",null,"Feedback forensics for ERC-8004 agents. Detects Sybil rings, fake reviews, rating manipulation, and reputation laundering across 20 chains. No API key needed.","Eskyee\u002Fagentbot-opensource","Eskyee","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F30862925?v=4","01M6ESSG1VB0FYP310V08SY08K","Esky33","01M6ESSG5ZR55BV28APEN3Y2P6",17,"MIT","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Ftrustlayer-sybil-scanner\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"scanner","trustlayer sybil scanner","security","https","forensics","api","feedback","curl","reputation","trust","x402","erc-8004","across","sybil","2026-11-10 10:12:30",false,"---\nname: trustlayer-sybil-scanner\ndescription: Feedback forensics for ERC-8004 agents. Detects Sybil rings, fake reviews, rating manipulation, and reputation laundering across 20 chains. No API key needed.\nversion: 4.1.0\ntags:\n  - reputation\n  - trust\n  - sybil\n  - erc-8004\n  - x402\n  - security\n  - agents\nmetadata:\n  clawdbot:\n    emoji: \"?\"\n    homepage: \"https:\u002F\u002Fthetrustlayer.xyz\"\n    requires:\n      bins:\n        - curl\n---\n\n# TrustLayer Sybil Scanner — ERC-8004 Feedback Forensics\n\nDetects fake reviews, Sybil rings, rating manipulation, and reputation laundering in ERC-8004 agent ratings across 20 chains including Base, Ethereum, BSC, Celo, Gnosis, Optimism, Arbitrum, Avalanche, Polygon, Monad, and Solana.\n\nMost agent reputation systems show you the rating. This one tells you if the rating is real.\n\n**API Base:** `https:\u002F\u002Fapi.thetrustlayer.xyz`\n**No API key required** (beta). x402 micropayments on paid endpoints ($0.001 USDC per query).\n\n## What this catches that others don't\n\n- **Sybil rings**: Clusters of wallets that only review each other\n- **Reviewer quality**: A 5-star review from a trusted agent vs a throwaway wallet are not the same. Scores are weighted by reviewer reputation.\n- **Cross-chain laundering**: Agent has great reviews on BSC but terrible ones on Base? Identities are resolved across chains and score divergence is flagged.\n- **Temporal anomalies**: Sudden bursts of positive reviews after a period of bad ones. Review bombing. Rating manipulation patterns over time.\n- **Spam feedback**: Known spam patterns detected via tag analysis and filtered before scoring.\n\n## When to use this skill\n\n- Before paying another agent via x402 or any payment method\n- When a user asks \"is this agent legit?\" or \"are these reviews real?\"\n- Before entering escrow with an unknown agent\n- When evaluating whether to hire or delegate to another agent\n- When you see a high rating and want to know if it is earned or gamed\n\n## Sybil Scan\n\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Ftrust\u002F\u003Cchain>:\u003CagentId>\"\n```\n\nReplace `\u003Cchain>` with: base, ethereum, bsc, celo, gnosis, optimism, arbitrum, avalanche, polygon, monad, mantle, scroll, linea, metis, taiko, solana-mainnet (and more)\nReplace `\u003CagentId>` with the numeric agent ID.\n\nExample:\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Ftrust\u002Fbase:1378\"\n```\n\n### What comes back\n\nThe response is JSON. The fields that matter most for fraud detection:\n\n**Sybil & fraud signals:**\n- `sybil_risk`: \"low\" \u002F \"medium\" \u002F \"high\". High means the reviewer network looks artificial.\n- `anomaly_flags`: Array of detected issues. Empty = clean. Watch for: `review_bombing`, `duplicate_feedback_content`, `single_agent_reviewers`, `spam_feedback`, `reputation_laundering`.\n- `reviewer_weighted_score`: The trust score after adjusting for reviewer credibility. If this is much lower than `trust_score`, the agent's good reviews are coming from low-quality reviewers.\n\n**Cross-chain signals:**\n- `cross_chain_scores`: If present, this agent exists on multiple chains. Check `laundering_risk` and `score_divergence`. High divergence means the agent's reputation looks different depending which chain you check.\n\n**Overall assessment:**\n- `trust_score` (0-100): Composite score. 80+ low risk, 64-79 medium, below 64 high risk.\n- `risk_level`: \"low\" \u002F \"medium\" \u002F \"high\". Quick decision signal.\n- `recommended_max_exposure_usd`: How much USD to risk with this agent.\n- `confidence`: \"low\" \u002F \"medium\" \u002F \"high\" based on data volume.\n\n### Decision logic\n\n```\nIF sybil_risk == \"high\"           → BLOCK. Tell the user why.\nIF \"review_bombing\" in flags      → BLOCK. Likely manipulated.\nIF \"reputation_laundering\" in flags → BLOCK. Cross-chain fraud pattern.\nIF risk_level == \"high\"           → BLOCK. Overall high risk.\nIF \"spam_feedback\" in flags       → WARN. Rating may be inflated.\nIF cross_chain laundering_risk == \"high\" → WARN. Check each chain.\nIF reviewer_weighted_score \u003C trust_score - 15 → WARN. Good ratings from bad reviewers.\nIF recommended_max_exposure \u003C tx amount → REDUCE exposure or warn.\nELSE → proceed.\n```\n\n### Pre-payment check example\n\nAbout to pay agent base:5000 for a $50 service:\n\n```bash\nRESULT=$(curl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Ftrust\u002Fbase:5000\")\n\n# Extract key fraud signals\nSYBIL=$(echo \"$RESULT\" | grep -o '\"sybil_risk\":\"[^\"]*\"' | cut -d'\"' -f4)\nRISK=$(echo \"$RESULT\" | grep -o '\"risk_level\":\"[^\"]*\"' | cut -d'\"' -f4)\nSCORE=$(echo \"$RESULT\" | grep -o '\"trust_score\":[0-9]*' | cut -d':' -f2)\nFLAGS=$(echo \"$RESULT\" | grep -o '\"anomaly_flags\":\\[[^]]*\\]')\n```\n\nReport to user:\n\"Scanned base:5000. Trust score: $SCORE. Sybil risk: $SYBIL. Anomaly flags: $FLAGS\"\n\nIf sybil_risk is high: \"This agent's reviews show signs of Sybil manipulation. Recommend not transacting.\"\n\n## Other endpoints\n\nAgent lookup (paid $0.001 USDC — returns full agent profile, metadata, and on-chain registration details):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fagent\u002F\u003Cchain>:\u003CagentId>\"\n```\n\nLeaderboard (most trusted agents, Sybil-filtered — rate-limited: 5 free per IP per hour, then 402):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fleaderboard?chain=base&limit=10\"\n```\n\nNetwork stats (live counts of total agents, Sybil flags, chains covered, and more):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fstats\"\n```\n\nReviewer lookup (paid $0.001 USDC — returns reviewer quality score, total reviews, unique agents reviewed, quality tier, and recent review history):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Freviewer\u002F\u003Cwallet_address>\"\n```\nMost reviewers score low — a trusted reviewer is rare. Use this to verify if a reviewer is credible before trusting their feedback.\n\nOwner portfolio (paid $0.001 USDC — returns all agents owned by one wallet across chains, with cross-chain group info, average trust score, and risk assessment):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fowner\u002F\u003Cwallet_address>\"\n```\nUse for due diligence on an agent operator.\n\nScore history (paid $0.001 USDC — returns full daily score time-series, 7d\u002F30d trajectory, and volatility):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fhistory\u002F\u003Cchain>:\u003CagentId>\"\n```\nDaily snapshots retained for 90 days. Use to check if an agent's reputation is stable or volatile.\n\nCall `\u002Fstats` for current network coverage — agent counts, Sybil flags, cross-chain groups, and chain breakdown are all returned live.\n\n## Visual reports\n\nFor a full visual breakdown with score history, anomaly timeline, and cross-chain map:\n```\nhttps:\u002F\u002Fthetrustlayer.xyz\u002Fagent\u002F\u003Cchain>:\u003CagentId>\n```\n\n## How scoring works\n\nScores combine three dimensions, each weighted by data quality:\n\n1. **Profile completeness**: Does the agent have metadata, description, active endpoints?\n2. **Feedback volume**: How much feedback exists? Weighted by reviewer quality, not raw count.\n3. **Feedback legitimacy**: Are reviewers themselves reputable? Are there Sybil patterns? Spam? Temporal anomalies?\n\nSix Sybil detection methods run on every sync:\n- Reviewer overlap clustering\n- One-to-one review pattern detection\n- Wallet age and activity analysis\n- Cross-chain identity correlation\n- Feedback timing anomaly detection\n- Tag-based spam filtering\n\nScores update daily. Historical score snapshots retained for 90 days.\n","# TrustLayer Sybil Scanner — ERC-8004 Feedback Forensics\n\nDetects fake reviews, Sybil rings, rating manipulation, and reputation laundering in ERC-8004 agent ratings across 20 chains including Base, Ethereum, BSC, Celo, Gnosis, Optimism, Arbitrum, Avalanche, Polygon, Monad, and Solana.\n\nMost agent reputation systems show you the rating. This one tells you if the rating is real.\n\n**API Base:** `https:\u002F\u002Fapi.thetrustlayer.xyz`\n**No API key required** (beta). x402 micropayments on paid endpoints ($0.001 USDC per query).\n\n## What this catches that others don't\n\n- **Sybil rings**: Clusters of wallets that only review each other\n- **Reviewer quality**: A 5-star review from a trusted agent vs a throwaway wallet are not the same. Scores are weighted by reviewer reputation.\n- **Cross-chain laundering**: Agent has great reviews on BSC but terrible ones on Base? Identities are resolved across chains and score divergence is flagged.\n- **Temporal anomalies**: Sudden bursts of positive reviews after a period of bad ones. Review bombing. Rating manipulation patterns over time.\n- **Spam feedback**: Known spam patterns detected via tag analysis and filtered before scoring.\n\n## When to use this skill\n\n- Before paying another agent via x402 or any payment method\n- When a user asks \"is this agent legit?\" or \"are these reviews real?\"\n- Before entering escrow with an unknown agent\n- When evaluating whether to hire or delegate to another agent\n- When you see a high rating and want to know if it is earned or gamed\n\n## Sybil Scan\n\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Ftrust\u002F\u003Cchain>:\u003CagentId>\"\n```\n\nReplace `\u003Cchain>` with: base, ethereum, bsc, celo, gnosis, optimism, arbitrum, avalanche, polygon, monad, mantle, scroll, linea, metis, taiko, solana-mainnet (and more)\nReplace `\u003CagentId>` with the numeric agent ID.\n\nExample:\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Ftrust\u002Fbase:1378\"\n```\n\n### What comes back\n\nThe response is JSON. The fields that matter most for fraud detection:\n\n**Sybil & fraud signals:**\n- `sybil_risk`: \"low\" \u002F \"medium\" \u002F \"high\". High means the reviewer network looks artificial.\n- `anomaly_flags`: Array of detected issues. Empty = clean. Watch for: `review_bombing`, `duplicate_feedback_content`, `single_agent_reviewers`, `spam_feedback`, `reputation_laundering`.\n- `reviewer_weighted_score`: The trust score after adjusting for reviewer credibility. If this is much lower than `trust_score`, the agent's good reviews are coming from low-quality reviewers.\n\n**Cross-chain signals:**\n- `cross_chain_scores`: If present, this agent exists on multiple chains. Check `laundering_risk` and `score_divergence`. High divergence means the agent's reputation looks different depending which chain you check.\n\n**Overall assessment:**\n- `trust_score` (0-100): Composite score. 80+ low risk, 64-79 medium, below 64 high risk.\n- `risk_level`: \"low\" \u002F \"medium\" \u002F \"high\". Quick decision signal.\n- `recommended_max_exposure_usd`: How much USD to risk with this agent.\n- `confidence`: \"low\" \u002F \"medium\" \u002F \"high\" based on data volume.\n\n### Decision logic\n\n```\nIF sybil_risk == \"high\"           → BLOCK. Tell the user why.\nIF \"review_bombing\" in flags      → BLOCK. Likely manipulated.\nIF \"reputation_laundering\" in flags → BLOCK. Cross-chain fraud pattern.\nIF risk_level == \"high\"           → BLOCK. Overall high risk.\nIF \"spam_feedback\" in flags       → WARN. Rating may be inflated.\nIF cross_chain laundering_risk == \"high\" → WARN. Check each chain.\nIF reviewer_weighted_score \u003C trust_score - 15 → WARN. Good ratings from bad reviewers.\nIF recommended_max_exposure \u003C tx amount → REDUCE exposure or warn.\nELSE → proceed.\n```\n\n### Pre-payment check example\n\nAbout to pay agent base:5000 for a $50 service:\n\n```bash\nRESULT=$(curl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Ftrust\u002Fbase:5000\")\n\n# Extract key fraud signals\nSYBIL=$(echo \"$RESULT\" | grep -o '\"sybil_risk\":\"[^\"]*\"' | cut -d'\"' -f4)\nRISK=$(echo \"$RESULT\" | grep -o '\"risk_level\":\"[^\"]*\"' | cut -d'\"' -f4)\nSCORE=$(echo \"$RESULT\" | grep -o '\"trust_score\":[0-9]*' | cut -d':' -f2)\nFLAGS=$(echo \"$RESULT\" | grep -o '\"anomaly_flags\":\\[[^]]*\\]')\n```\n\nReport to user:\n\"Scanned base:5000. Trust score: $SCORE. Sybil risk: $SYBIL. Anomaly flags: $FLAGS\"\n\nIf sybil_risk is high: \"This agent's reviews show signs of Sybil manipulation. Recommend not transacting.\"\n\n## Other endpoints\n\nAgent lookup (paid $0.001 USDC — returns full agent profile, metadata, and on-chain registration details):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fagent\u002F\u003Cchain>:\u003CagentId>\"\n```\n\nLeaderboard (most trusted agents, Sybil-filtered — rate-limited: 5 free per IP per hour, then 402):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fleaderboard?chain=base&limit=10\"\n```\n\nNetwork stats (live counts of total agents, Sybil flags, chains covered, and more):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fstats\"\n```\n\nReviewer lookup (paid $0.001 USDC — returns reviewer quality score, total reviews, unique agents reviewed, quality tier, and recent review history):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Freviewer\u002F\u003Cwallet_address>\"\n```\nMost reviewers score low — a trusted reviewer is rare. Use this to verify if a reviewer is credible before trusting their feedback.\n\nOwner portfolio (paid $0.001 USDC — returns all agents owned by one wallet across chains, with cross-chain group info, average trust score, and risk assessment):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fowner\u002F\u003Cwallet_address>\"\n```\nUse for due diligence on an agent operator.\n\nScore history (paid $0.001 USDC — returns full daily score time-series, 7d\u002F30d trajectory, and volatility):\n```bash\ncurl -s \"https:\u002F\u002Fapi.thetrustlayer.xyz\u002Fhistory\u002F\u003Cchain>:\u003CagentId>\"\n```\nDaily snapshots retained for 90 days. Use to check if an agent's reputation is stable or volatile.\n\nCall `\u002Fstats` for current network coverage — agent counts, Sybil flags, cross-chain groups, and chain breakdown are all returned live.\n\n## Visual reports\n\nFor a full visual breakdown with score history, anomaly timeline, and cross-chain map:\n```\nhttps:\u002F\u002Fthetrustlayer.xyz\u002Fagent\u002F\u003Cchain>:\u003CagentId>\n```\n\n## How scoring works\n\nScores combine three dimensions, each weighted by data quality:\n\n1. **Profile completeness**: Does the agent have metadata, description, active endpoints?\n2. **Feedback volume**: How much feedback exists? Weighted by reviewer quality, not raw count.\n3. **Feedback legitimacy**: Are reviewers themselves reputable? Are there Sybil patterns? Spam? Temporal anomalies?\n\nSix Sybil detection methods run on every sync:\n- Reviewer overlap clustering\n- One-to-one review pattern detection\n- Wallet age and activity analysis\n- Cross-chain identity correlation\n- Feedback timing anomaly detection\n- Tag-based spam filtering\n\nScores update daily. Historical score snapshots retained for 90 days.\n",{"name":5,"tags":38,"version":40,"metadata":41,"description":7},[27,28,32,30,29,21,39],"agents","4.1.0",{"clawdbot":42},{"emoji":43,"homepage":44,"requires":45},"?","https:\u002F\u002Fthetrustlayer.xyz",{"bins":46},[26],"main","82fb6583c8457bf1cbf87293c95642f184e9dbaf","skills\u002Ftrustlayer-sybil-scanner",2,"https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource","https:\u002F\u002Fagentbot-studio.vercel.app","https:\u002F\u002Fgithub.com\u002FEskyee","https:\u002F\u002Fagentbot.sh","London-based indie founder. \r\nCreator of Agentbot.sh - BaseFM.space","2026-11-05 10:56:50",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add Eskyee\u002Fagentbot-opensource --skill trustlayer-sybil-scanner",{"tool":63,"command":64},"bunx","bunx skills add Eskyee\u002Fagentbot-opensource --skill trustlayer-sybil-scanner",{"tool":66,"command":67},"pnpm","pnpm dlx skills add Eskyee\u002Fagentbot-opensource --skill trustlayer-sybil-scanner","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Ftrustlayer-sybil-scanner\u002FSKILL.md",true,[],[72,85,119,141,164,172],{"skillNo":73,"name":74,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":82,"publishedAt":33},"01M6ET5WZACASAB0WXF3RWEA00","provisioning-v1","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fweb\u002Fskills\u002Fprovisioning-v1\u002FSKILL.md",[77],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[83,84],"provisioning v1","provisioning",{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":99,"publishedAt":33},"01M6ET5R7WW7NHX7BBH6RR41SH","get-api-docs","Use this skill when you need documentation for a third-party library, SDK, or API before writing code that uses it — for example, \"use the OpenAI API\", \"call the Stripe API\", \"use the Anthropic SDK\", \"query Pinecone\", or any time the user asks you to write code against an external service and you need current API reference. Fetch the docs with chub before answering, rather than relying on training knowledge.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fweb\u002Fskills\u002Fget-api-docs\u002FSKILL.md",[91,94],{"categoryNo":92,"categoryName":93,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":95,"categoryName":96,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[100,24,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118],"docs","get api docs","get","writing","documentation","training","code","openai","openai api","library","knowledge","write","fetch","example","pinecone","stripe","query","time","anthropic sdk",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":125,"publishedAt":33},"01M6ET5MHC01R668JHR5N0HGA1","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 deterministic subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Fzyfai\u002FSKILL.md",[],[121,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140],"passive","non-custodial","arbitrum","yield","withdraw","Optimization","deposit","defi","deterministic","base","Wallet","use","user","safe","ethereum",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":148,"publishedAt":33},"01M6ET5FA594JNMY39RN003ANW","zerion","Interpreted crypto wallet data for AI agents. Use when an agent needs portfolio values, token positions, DeFi positions, NFT holdings, transaction history, PnL data, token prices, charts, gas prices, swap quotes, or DApp information across 41+ chains. Zerion transforms raw blockchain data into agent-ready JSON with USD values, protocol labels, and enriched metadata. Supports x402 pay-per-request ($0.01 USDC on Base) and API key access. Triggers on mentions of portfolio, wallet analysis, positions, transactions, PnL, profit\u002Floss, DeFi, token balances, NFTs, swap quotes, gas prices, or Zerion.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Fzerion\u002FSKILL.md",[147],{"categoryNo":92,"categoryName":93,"taxonomyType":80,"taxonomyTypeDesc":81},[143,149,150,151,152,29,153,154,155,156,31,157,136,158,159,160,161,162,163,24],"information","data","ai agents","analysis","transforms","nfts","token","nft","usd","ready","portfolio","gas","access","transactions","Charts",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":170,"publishedAt":33},"01M6ET5C758AY90H4E0AWAJ9JR","zapper","Placeholder for Zapper skill.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Fzapper\u002FSKILL.md",[],[166,171],"placeholder",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":178,"publishedAt":33},"01M6ET5965RAA4BZNSWEVK3MGW","yoink","Play Yoink, an onchain capture-the-flag game on Base. Yoink the flag from the current holder, check game stats and leaderboards, view player scores, and compete for the trophy. Uses Bankr for transaction execution.","https:\u002F\u002Fgithub.com\u002FEskyee\u002Fagentbot-opensource\u002Fblob\u002Fmain\u002Fskills\u002Fyoink\u002FSKILL.md",[],[174,179,180,181,182,183,135,184,185,186,187,26,188,189,190,22,191],"view","org","compete","transaction","bankr","onchain","check","capture","jq","game","execution","stats","play"]