# Send Wash-Trade-Detector to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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.
```
### Upgrade existing

```text
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.
```
## Machine-readable fields
```json
{
  "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": {
    "downloadUrl": "/downloads/wash-trade-detector",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=wash-trade-detector",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "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."
      ]
    }
  },
  "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"
  }
}
```
## Documentation

### Purpose

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.

### System Instructions

You are an OpenClaw agent equipped with the Wash Trade Detector protocol. Adhere to the following rules strictly:

Trigger Condition:

Activate when processing a sales transaction record.
Action: Analyze the transaction and return a structured assessment object.

### Input Schema

The calling agent must supply a transaction record object containing:

seller_wallet (string) — seller wallet address
buyer_wallet (string) — buyer wallet address
sale_price (number) — sale price in ETH or USD
sale_timestamp (ISO 8601) — time of sale
prior_trades (array) — list of prior transactions between these wallets, each with seller, buyer, timestamp
buyer_wallet_created_at (ISO 8601) — wallet creation timestamp
buyer_incoming_transfers (array) — fund transfers received by buyer wallet in the 72h before purchase, each with from_wallet, amount, timestamp
floor_price (number) — current collection floor price at time of sale
same_pair_trade_count_90d (number) — number of trades between this wallet pair in last 90 days
known_auction_house (boolean) — whether seller is a verified traditional auction house

### Detection Patterns (Hierarchy)

*   **Pattern 1: Direct Self-Trade (High Confidence)**
    *   *Criteria*: Seller wallet == Buyer wallet.
    *   *Flag*: \`wash_trade_confirmed\`
    *   *Confidence*: **95**
    *   *Multiplier*: **0.0**

*   **Pattern 2: Rapid Return Trade (High Confidence)**
    *   *Criteria*: A sells to B, then B sells back to A within 30 days.
    *   *Flag*: \`wash_trade_confirmed\`
    *   *Confidence*: **90**
    *   *Multiplier*: **0.0**

*   **Pattern 3: Circular Trade Chain (High Confidence)**
    *   *Criteria*: A -> B -> C -> A within 60 days.
    *   *Flag*: \`wash_trade_confirmed\`
    *   *Confidence*: **85**
    *   *Multiplier*: **0.0**

*   **Pattern 4: Funded Buyer (Medium Confidence)**
    *   *Criteria*: Buyer wallet received funds directly from Seller wallet <72h before purchase.
    *   *Flag*: \`wash_trade_suspected\`
    *   *Confidence*: **70**
    *   *Multiplier*: **0.3**

*   **Pattern 5: Zero or Below-Floor Price (Medium Confidence)**
    *   *Criteria*: Price is 0 OR >90% below established floor.
    *   *Flag*: \`wash_trade_suspected\`
    *   *Confidence*: **65**
    *   *Multiplier*: **0.5**

*   **Pattern 6: High Frequency Same-Pair (Medium Confidence)**
    *   *Criteria*: Same wallet pair trades 5+ times within 90 days.
    *   *Flag*: \`wash_trade_suspected\`
    *   *Confidence*: **60**
    *   *Multiplier*: **0.6**

*   **Pattern 7: New Wallet Spike (Low Confidence)**
    *   *Criteria*: Buyer wallet created <7 days ago, no other history.
    *   *Flag*: \`wash_trade_possible\`
    *   *Confidence*: **40**
    *   *Multiplier*: **0.8**

### Pattern Combination Rules

When multiple patterns match the same transaction:

If any Pattern 1, 2, or 3 matches → wash_trade_confirmed regardless of other patterns
If no Pattern 1, 2, or 3 matches, sum the confidence scores of all matched patterns:

Combined confidence ≥ 60 → wash_trade_suspected
Combined confidence < 60 → wash_trade_possible


weight_applied = the lowest value multiplier among all matched patterns
wash_trade_pattern = comma-separated list of all matched pattern names

Output Logic (Enforcement Rules):
Based on the detected flag status, return a structured result object. The calling system is responsible for all downstream actions.


wash_trade_confirmed (Confidence 85+):

Action: Return result with excluded: true. Do not process further.
Weight: weight_applied: 0.0



wash_trade_suspected (Confidence 60-84):

Action: Return result with excluded: false and the applicable weight_applied.
Note: List all specific patterns matched.



wash_trade_possible (Confidence <60):

Action: Return result with excluded: false, full weight (weight_applied: 1.0), and a monitoring note.





Recording Requirements (Output Schema):
The output object for every analyzed transaction must contain:

wash_trade_flag (boolean)
wash_trade_confidence (0-100)
wash_trade_pattern (e.g., "Pattern 1: Direct Self-Trade")
wash_trade_status (confirmed / suspected / possible)
weight_applied (0.0 - 1.0)
excluded (boolean)
analyzed_at (Timestamp)



Guardrails:

Functional Only: The skill's job is detection and output only. No pipeline writes, no database access, and no external integrations.
Scope: Do not flag transactions from known traditional auction houses (wash trading logic applies to on-chain data).
Confirmation: Never mark confirmed without a Pattern 1, 2, or 3 match.
Non-Destructive: This skill provides an assessment; it does not modify the source transaction data.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: PaperBuddha
- Version: 1.0.4
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/wash-trade-detector)
- [Send to Agent page](https://openagent3.xyz/skills/wash-trade-detector/agent)
- [JSON manifest](https://openagent3.xyz/skills/wash-trade-detector/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/wash-trade-detector/agent.md)
- [Download page](https://openagent3.xyz/downloads/wash-trade-detector)