{
  "schemaVersion": "1.0",
  "item": {
    "slug": "wash-trade-detector",
    "name": "Wash-Trade-Detector",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/PaperBuddha/wash-trade-detector",
    "canonicalUrl": "https://clawhub.ai/PaperBuddha/wash-trade-detector",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/wash-trade-detector",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=wash-trade-detector",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "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."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "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. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "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/wash-trade-detector"
    },
    "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."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/wash-trade-detector",
    "agentPageUrl": "https://openagent3.xyz/skills/wash-trade-detector/agent",
    "manifestUrl": "https://openagent3.xyz/skills/wash-trade-detector/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/wash-trade-detector/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "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."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "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. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Purpose",
        "body": "Identifies and flags non-genuine transactions (wash trades) in NFT sales data. Wash trading artificially inflates price history, volume, and collector demand. This skill applies 7 weighted detection patterns to identify suspicious activity, providing a structured output for downstream processing."
      },
      {
        "title": "System Instructions",
        "body": "You are an OpenClaw agent equipped with the Wash Trade Detector protocol. Adhere to the following rules strictly:\n\nTrigger Condition:\n\nActivate when processing a sales transaction record.\nAction: Analyze the transaction and return a structured assessment object."
      },
      {
        "title": "Input Schema",
        "body": "The calling agent must supply a transaction record object containing:\n\nseller_wallet (string) — seller wallet address\nbuyer_wallet (string) — buyer wallet address\nsale_price (number) — sale price in ETH or USD\nsale_timestamp (ISO 8601) — time of sale\nprior_trades (array) — list of prior transactions between these wallets, each with seller, buyer, timestamp\nbuyer_wallet_created_at (ISO 8601) — wallet creation timestamp\nbuyer_incoming_transfers (array) — fund transfers received by buyer wallet in the 72h before purchase, each with from_wallet, amount, timestamp\nfloor_price (number) — current collection floor price at time of sale\nsame_pair_trade_count_90d (number) — number of trades between this wallet pair in last 90 days\nknown_auction_house (boolean) — whether seller is a verified traditional auction house"
      },
      {
        "title": "Detection Patterns (Hierarchy)",
        "body": "*   **Pattern 1: Direct Self-Trade (High Confidence)**\n    *   *Criteria*: Seller wallet == Buyer wallet.\n    *   *Flag*: `wash_trade_confirmed`\n    *   *Confidence*: **95**\n    *   *Multiplier*: **0.0**\n\n*   **Pattern 2: Rapid Return Trade (High Confidence)**\n    *   *Criteria*: A sells to B, then B sells back to A within 30 days.\n    *   *Flag*: `wash_trade_confirmed`\n    *   *Confidence*: **90**\n    *   *Multiplier*: **0.0**\n\n*   **Pattern 3: Circular Trade Chain (High Confidence)**\n    *   *Criteria*: A -> B -> C -> A within 60 days.\n    *   *Flag*: `wash_trade_confirmed`\n    *   *Confidence*: **85**\n    *   *Multiplier*: **0.0**\n\n*   **Pattern 4: Funded Buyer (Medium Confidence)**\n    *   *Criteria*: Buyer wallet received funds directly from Seller wallet <72h before purchase.\n    *   *Flag*: `wash_trade_suspected`\n    *   *Confidence*: **70**\n    *   *Multiplier*: **0.3**\n\n*   **Pattern 5: Zero or Below-Floor Price (Medium Confidence)**\n    *   *Criteria*: Price is 0 OR >90% below established floor.\n    *   *Flag*: `wash_trade_suspected`\n    *   *Confidence*: **65**\n    *   *Multiplier*: **0.5**\n\n*   **Pattern 6: High Frequency Same-Pair (Medium Confidence)**\n    *   *Criteria*: Same wallet pair trades 5+ times within 90 days.\n    *   *Flag*: `wash_trade_suspected`\n    *   *Confidence*: **60**\n    *   *Multiplier*: **0.6**\n\n*   **Pattern 7: New Wallet Spike (Low Confidence)**\n    *   *Criteria*: Buyer wallet created <7 days ago, no other history.\n    *   *Flag*: `wash_trade_possible`\n    *   *Confidence*: **40**\n    *   *Multiplier*: **0.8**"
      },
      {
        "title": "Pattern Combination Rules",
        "body": "When multiple patterns match the same transaction:\n\nIf any Pattern 1, 2, or 3 matches → wash_trade_confirmed regardless of other patterns\nIf no Pattern 1, 2, or 3 matches, sum the confidence scores of all matched patterns:\n\nCombined confidence ≥ 60 → wash_trade_suspected\nCombined confidence < 60 → wash_trade_possible\n\n\nweight_applied = the lowest value multiplier among all matched patterns\nwash_trade_pattern = comma-separated list of all matched pattern names\n\nOutput Logic (Enforcement Rules):\nBased on the detected flag status, return a structured result object. The calling system is responsible for all downstream actions.\n\n\nwash_trade_confirmed (Confidence 85+):\n\nAction: Return result with excluded: true. Do not process further.\nWeight: weight_applied: 0.0\n\n\n\nwash_trade_suspected (Confidence 60-84):\n\nAction: Return result with excluded: false and the applicable weight_applied.\nNote: List all specific patterns matched.\n\n\n\nwash_trade_possible (Confidence <60):\n\nAction: Return result with excluded: false, full weight (weight_applied: 1.0), and a monitoring note.\n\n\n\n\n\nRecording Requirements (Output Schema):\nThe output object for every analyzed transaction must contain:\n\nwash_trade_flag (boolean)\nwash_trade_confidence (0-100)\nwash_trade_pattern (e.g., \"Pattern 1: Direct Self-Trade\")\nwash_trade_status (confirmed / suspected / possible)\nweight_applied (0.0 - 1.0)\nexcluded (boolean)\nanalyzed_at (Timestamp)\n\n\n\nGuardrails:\n\nFunctional Only: The skill's job is detection and output only. No pipeline writes, no database access, and no external integrations.\nScope: Do not flag transactions from known traditional auction houses (wash trading logic applies to on-chain data).\nConfirmation: Never mark confirmed without a Pattern 1, 2, or 3 match.\nNon-Destructive: This skill provides an assessment; it does not modify the source transaction data."
      }
    ],
    "body": "Skill: Wash Trade Detector\nPurpose\n\nIdentifies and flags non-genuine transactions (wash trades) in NFT sales data. Wash trading artificially inflates price history, volume, and collector demand. This skill applies 7 weighted detection patterns to identify suspicious activity, providing a structured output for downstream processing.\n\nSystem Instructions\n\nYou are an OpenClaw agent equipped with the Wash Trade Detector protocol. Adhere to the following rules strictly:\n\nTrigger Condition:\nActivate when processing a sales transaction record.\nAction: Analyze the transaction and return a structured assessment object.\nInput Schema\n\nThe calling agent must supply a transaction record object containing:\n\nseller_wallet (string) — seller wallet address\nbuyer_wallet (string) — buyer wallet address\nsale_price (number) — sale price in ETH or USD\nsale_timestamp (ISO 8601) — time of sale\nprior_trades (array) — list of prior transactions between these wallets, each with seller, buyer, timestamp\nbuyer_wallet_created_at (ISO 8601) — wallet creation timestamp\nbuyer_incoming_transfers (array) — fund transfers received by buyer wallet in the 72h before purchase, each with from_wallet, amount, timestamp\nfloor_price (number) — current collection floor price at time of sale\nsame_pair_trade_count_90d (number) — number of trades between this wallet pair in last 90 days\nknown_auction_house (boolean) — whether seller is a verified traditional auction house\nDetection Patterns (Hierarchy)\n*   **Pattern 1: Direct Self-Trade (High Confidence)**\n    *   *Criteria*: Seller wallet == Buyer wallet.\n    *   *Flag*: `wash_trade_confirmed`\n    *   *Confidence*: **95**\n    *   *Multiplier*: **0.0**\n\n*   **Pattern 2: Rapid Return Trade (High Confidence)**\n    *   *Criteria*: A sells to B, then B sells back to A within 30 days.\n    *   *Flag*: `wash_trade_confirmed`\n    *   *Confidence*: **90**\n    *   *Multiplier*: **0.0**\n\n*   **Pattern 3: Circular Trade Chain (High Confidence)**\n    *   *Criteria*: A -> B -> C -> A within 60 days.\n    *   *Flag*: `wash_trade_confirmed`\n    *   *Confidence*: **85**\n    *   *Multiplier*: **0.0**\n\n*   **Pattern 4: Funded Buyer (Medium Confidence)**\n    *   *Criteria*: Buyer wallet received funds directly from Seller wallet <72h before purchase.\n    *   *Flag*: `wash_trade_suspected`\n    *   *Confidence*: **70**\n    *   *Multiplier*: **0.3**\n\n*   **Pattern 5: Zero or Below-Floor Price (Medium Confidence)**\n    *   *Criteria*: Price is 0 OR >90% below established floor.\n    *   *Flag*: `wash_trade_suspected`\n    *   *Confidence*: **65**\n    *   *Multiplier*: **0.5**\n\n*   **Pattern 6: High Frequency Same-Pair (Medium Confidence)**\n    *   *Criteria*: Same wallet pair trades 5+ times within 90 days.\n    *   *Flag*: `wash_trade_suspected`\n    *   *Confidence*: **60**\n    *   *Multiplier*: **0.6**\n\n*   **Pattern 7: New Wallet Spike (Low Confidence)**\n    *   *Criteria*: Buyer wallet created <7 days ago, no other history.\n    *   *Flag*: `wash_trade_possible`\n    *   *Confidence*: **40**\n    *   *Multiplier*: **0.8**\n\nPattern Combination Rules\n\nWhen multiple patterns match the same transaction:\n\nIf any Pattern 1, 2, or 3 matches → wash_trade_confirmed regardless of other patterns\nIf no Pattern 1, 2, or 3 matches, sum the confidence scores of all matched patterns:\nCombined confidence ≥ 60 → wash_trade_suspected\nCombined confidence < 60 → wash_trade_possible\nweight_applied = the lowest value multiplier among all matched patterns\nwash_trade_pattern = comma-separated list of all matched pattern names\n\nOutput Logic (Enforcement Rules): Based on the detected flag status, return a structured result object. The calling system is responsible for all downstream actions.\n\nwash_trade_confirmed (Confidence 85+):\n\nAction: Return result with excluded: true. Do not process further.\nWeight: weight_applied: 0.0\n\nwash_trade_suspected (Confidence 60-84):\n\nAction: Return result with excluded: false and the applicable weight_applied.\nNote: List all specific patterns matched.\n\nwash_trade_possible (Confidence <60):\n\nAction: Return result with excluded: false, full weight (weight_applied: 1.0), and a monitoring note.\n\nRecording Requirements (Output Schema): The output object for every analyzed transaction must contain:\n\nwash_trade_flag (boolean)\nwash_trade_confidence (0-100)\nwash_trade_pattern (e.g., \"Pattern 1: Direct Self-Trade\")\nwash_trade_status (confirmed / suspected / possible)\nweight_applied (0.0 - 1.0)\nexcluded (boolean)\nanalyzed_at (Timestamp)\n\nGuardrails:\n\nFunctional Only: The skill's job is detection and output only. No pipeline writes, no database access, and no external integrations.\nScope: Do not flag transactions from known traditional auction houses (wash trading logic applies to on-chain data).\nConfirmation: Never mark confirmed without a Pattern 1, 2, or 3 match.\nNon-Destructive: This skill provides an assessment; it does not modify the source transaction data."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/PaperBuddha/wash-trade-detector",
    "publisherUrl": "https://clawhub.ai/PaperBuddha/wash-trade-detector",
    "owner": "PaperBuddha",
    "version": "1.0.4",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/wash-trade-detector",
    "downloadUrl": "https://openagent3.xyz/downloads/wash-trade-detector",
    "agentUrl": "https://openagent3.xyz/skills/wash-trade-detector/agent",
    "manifestUrl": "https://openagent3.xyz/skills/wash-trade-detector/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/wash-trade-detector/agent.md"
  }
}