{ "schemaVersion": "1.0", "item": { "slug": "polymarket-wallet-xray", "name": "Polymarket Wallet Xray", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/adlai88/polymarket-wallet-xray", "canonicalUrl": "https://clawhub.ai/adlai88/polymarket-wallet-xray", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/polymarket-wallet-xray", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=polymarket-wallet-xray", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "README.md", "SKILL.md", "clawhub.json", "scripts/status.py", "wallet_xray.py" ], "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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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/polymarket-wallet-xray" }, "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/polymarket-wallet-xray", "agentPageUrl": "https://openagent3.xyz/skills/polymarket-wallet-xray/agent", "manifestUrl": "https://openagent3.xyz/skills/polymarket-wallet-xray/agent.json", "briefUrl": "https://openagent3.xyz/skills/polymarket-wallet-xray/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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Polymarket Wallet X-Ray", "body": "Analyze any Polymarket wallet's trading patterns, skill level, and edge detection.\n\nNo authentication needed. Queries Polymarket's public CLOB API directly.\n\nInspired by: The Autopsy: How to Read the Mind of a Polymarket Whale by @thejayden\n\nThis skill implements the forensic trading analysis framework developed by @thejayden. Read the original post to understand the philosophy behind Time Profitable, hedge checks, bot detection, and accumulation signals.\n\nThis is an analysis tool, not a trading signal. The skill returns forensic metrics for ANY Polymarket wallet — your agent uses them to UNDERSTAND traders, learn patterns, and make informed decisions. This is for education and research, not for blindly copying positions." }, { "title": "⚠️ Important Disclaimer", "body": "Past performance does not guarantee future results. A wallet's historical metrics tell you about:\n\n✅ How they traded in the past\n✅ Their historical win rate and entry quality\n❌ NOT whether their strategy will work going forward\n\nWhy copying is risky:\n\nMarket conditions change constantly\nA trader's edge might have been luck, timing, or specific to historical events\nSlippage and fees erode thin edges to zero\nOther traders copying the same strategy destroy the edge\n\nUse this skill to:\n\n✅ Learn what skilled traders look like (metrics, behavior)\n✅ Identify potential anomalies (bots, arbitrageurs)\n✅ Understand trader psychology (FOMO vs. discipline)\n✅ Inform your own strategy decisions\n\nDO NOT use this skill to:\n\n❌ Automatically copytrade wallets\n❌ Expect to replicate their returns\n❌ Trade on these metrics without understanding why\n❌ Risk significant capital on patterns you don't understand" }, { "title": "When to Use This Skill", "body": "Use this skill when you want to:\n\nLearn how skilled traders operate — What metrics separate winners from losers?\nUnderstand trading psychology — Who chases prices? Who has discipline?\nDetect bots and anomalies — Identify suspicious patterns for research\nResearch arbitrage activity — Find wallets with hedged positions (educational)\nCompare trader profiles — What does a consistent trader look like vs. a lucky one?\nInform your own strategy — Use patterns as input to YOUR decision-making, not as direct signals\n\nNOT for:\n\nCopying trades blindly or automatically\nAssuming past returns = future returns\nMaking large bets on these metrics alone" }, { "title": "Quick Commands", "body": "# Analyze a single wallet\npython wallet_xray.py 0x1234...abcd\n\n# Analyze wallet + only look at specific market\npython wallet_xray.py 0x1234...abcd \"Bitcoin\"\n\n# Compare two wallets head-to-head\npython wallet_xray.py 0x1111... 0x2222... --compare\n\n# Find wallets matching criteria (top Time Profitable in market)\npython wallet_xray.py \"Will BTC hit $100k?\" --top-wallets 5 --dry-run\n\n# Check your account status\npython scripts/status.py\n\nAPIs Used (Public, No Auth Required):\n\nGamma API: https://gamma-api.polymarket.com — Market search\nCLOB API: https://clob.polymarket.com — Trade history and orderbook" }, { "title": "What You Get Back", "body": "The skill returns comprehensive forensic metrics:\n\n{\n \"wallet\": \"0x1234...abcd\",\n \"total_trades\": 156,\n \"total_period_hours\": 42.5,\n \"profitability\": {\n \"time_profitable_pct\": 75.3,\n \"win_rate_pct\": 68.2,\n \"avg_profit_per_win\": 0.035,\n \"avg_loss_per_loss\": -0.018,\n \"realized_pnl_usd\": 2450.00\n },\n \"entry_quality\": {\n \"avg_slippage_bps\": 28,\n \"quality_rating\": \"B+\",\n \"assessment\": \"Good entries, occasional FOMO\"\n },\n \"behavior\": {\n \"is_bot_detected\": false,\n \"trading_intensity\": \"high\",\n \"avg_seconds_between_trades\": 45,\n \"price_chasing\": \"moderate\",\n \"accumulation_signal\": \"growing\"\n },\n \"edge_detection\": {\n \"hedge_check_combined_avg\": 0.98,\n \"has_arbitrage_edge\": false,\n \"assessment\": \"No locked-in edge; relies on direction\"\n },\n \"risk_profile\": {\n \"max_drawdown_pct\": 12.5,\n \"volatility\": \"medium\",\n \"max_position_concentration\": 0.22\n },\n \"recommendation\": \"Good trader. Skilled entries, disciplined sizing. Good metrics for learning from. Not advice to copytrade.\"\n}" }, { "title": "How It Works", "body": "Fetch trade history — Download all trades this wallet made from Polymarket via Simmer API\nCompute profitability timeline — When were they underwater vs. profitable?\nAnalyze entry quality — Did they buy at optimal prices or chase?\nDetect trading patterns — Bot (inhuman speed) vs. human (deliberate timing)?\nCheck for arbitrage — Combined YES+NO avg < $1.00? (Potential structural edge — depends on execution and fees)\nAssess behavior — FOMO accumulation? Disciplined sizing? Rotating positions?\nGenerate recommendation — Is this wallet worth following? What's the risk?" }, { "title": "⏱️ Time Profitable (e.g., 75.3%)", "body": "Wallet was profitable (not underwater) for 75% of their trading period. This wallet endured only 25% painful drawdowns — that's discipline.\n\n>80% = Sniper-like (skilled entries, holds through drawdowns)\n50-80% = Solid (good discipline)\n<50% = Risky (likely panic-held losses)" }, { "title": "🎯 Entry Quality (e.g., 28 bps average slippage)", "body": "They buy near the best available price. 28 basis points is normal for active traders. No evidence of FOMO market orders.\n\n<20 bps = Expert. Limit orders, patience.\n20-40 bps = Good. Balanced speed/price.\n>50 bps = Weak. Chasing prices." }, { "title": "🤖 Bot Detection (e.g., false)", "body": "Average 45 seconds between trades. This is human. A bot would be <1 second.\n\n<5 sec = Likely bot. Avoid unless you know it's a legitimate market maker.\n5-30 sec = Possible bot.\n>30 sec = Human." }, { "title": "💰 Hedge Check (e.g., combined avg 0.98)", "body": "If they bought YES at $0.70 and NO at $0.30, combined = $1.00. This wallet spent exactly what they should to be neutral.\n\nIf combined < $1.00, they may have entered with a structural edge (lower combined cost than $1 payout). Actual profit depends on execution, fees, and spread.\n\n< $0.95 = Strong potential edge. Likely institutional/pro.\n$0.95-1.00 = Slight edge detected.\n> $1.00 = No edge; betting on direction." }, { "title": "Example 1: Learning from a skilled trader (Analysis)", "body": "import subprocess\nimport json\n\n# Analyze a wallet known for skilled trading\nresult = subprocess.run(\n [\"python\", \"wallet_xray.py\", \"0x123...abc\", \"--json\"],\n capture_output=True,\n text=True\n)\ndata = json.loads(result.stdout)\n\n# LEARN from their profile, don't copy blindly\ntime_prof = data[\"profitability\"][\"time_profitable_pct\"]\nentry_qual = data[\"entry_quality\"][\"quality_rating\"]\n\nprint(f\"📊 What this trader does well:\")\nprint(f\" • Time Profitable: {time_prof}% (disciplined)\")\nprint(f\" • Entry Quality: {entry_qual} (patient buyer)\")\nprint(f\" • Behavior: {data['behavior']['accumulation_signal']} (not FOMO)\")\n\n# THEN: Ask yourself\n# - Why are they profitable? (skill or luck?)\n# - Can I replicate their decision-making process?\n# - Do I have their capital size, timing, or information?" }, { "title": "Example 2: Research anomalies (Education)", "body": "# Analyze multiple wallets to understand patterns\nwallets = [\"0x111...\", \"0x222...\", \"0x333...\"]\n\nprint(\"Comparing trader profiles:\")\nfor wallet in wallets:\n result = subprocess.run(\n [\"python\", \"wallet_xray.py\", wallet, \"--json\"],\n capture_output=True,\n text=True\n )\n data = json.loads(result.stdout)\n\n is_bot = \"🤖 BOT\" if data[\"behavior\"][\"is_bot_detected\"] else \"👤 HUMAN\"\n print(f\"\\n{wallet}: {is_bot}\")\n print(f\" Win Rate: {data['profitability']['win_rate_pct']}%\")\n print(f\" Time Profitable: {data['profitability']['time_profitable_pct']}%\")\n\n# Use this data to understand what successful trading LOOKS LIKE\n# Then build your own strategy based on these insights" }, { "title": "Example 3: Informed decision-making (NOT blind copying)", "body": "# Analyze before you decide what to do\nresult = subprocess.run(\n [\"python\", \"wallet_xray.py\", \"0x123...abc\", \"--json\"],\n capture_output=True,\n text=True\n)\ndata = json.loads(result.stdout)\n\n# Make an INFORMED decision based on analysis + YOUR OWN JUDGMENT\nif data[\"profitability\"][\"time_profitable_pct\"] > 75 and \\\n data[\"entry_quality\"][\"quality_rating\"] in [\"A\", \"A+\"]:\n\n print(f\"✅ This wallet shows skill (high Time Profitable, good entries)\")\n print(f\"⚠️ But I will NOT copytrade blindly.\")\n print(f\"📋 Instead, I'll:\")\n print(f\" 1. Backtest their patterns on fresh data\")\n print(f\" 2. Add my own market signals\")\n print(f\" 3. Start with small position (1-2% of capital)\")\n print(f\" 4. Monitor for next 30 days\")\n print(f\" 5. Adjust if it stops working\")\nelse:\n print(f\"❌ This wallet doesn't show strong enough metrics.\")\n print(f\" Safer to avoid or research further before deciding.\")" }, { "title": "Running the Skill", "body": "Analyze a single wallet (default):\n\npython wallet_xray.py 0x1234...abcd\n\nAnalyze wallet for a specific market:\n\npython wallet_xray.py 0x1234...abcd \"Bitcoin\"\n\nOutput as JSON (for scripts):\n\npython wallet_xray.py 0x1234...abcd --json\n\nCompare two wallets:\n\npython wallet_xray.py 0x1111... 0x2222... --compare\n\nLimit analysis to recent trades (faster):\n\npython wallet_xray.py 0x1234...abcd --limit 100" }, { "title": "Troubleshooting", "body": "\"Wallet has no trades\"\n\nThis wallet hasn't traded yet, or all trades are too old\nTry a wallet you know is active\n\n\"Market not found\"\n\nThe market query didn't match anything on Polymarket\nTry a more specific market name or leave it blank to analyze all markets\n\n\"Analysis took too long\"\n\nFor wallets with >500 trades, analysis can take 30+ seconds\nUse --limit 100 to analyze only recent trades for faster results\n\n\"API rate limited\"\n\nYou're analyzing many wallets in quick succession\nWait a minute before trying again, or use --limit to speed up individual analyses\n\n\"Connection error\"\n\nCheck that Polymarket's CLOB API is reachable: curl https://clob.polymarket.com/trades\nIf down, try again later or use --limit 50 to reduce load" }, { "title": "Credits", "body": "This skill is based on the forensic trading analysis framework from @thejayden's \"Autopsy of a Polymarket Whale\".\n\nThe original post shows how to:\n\nSpot fake gurus (high PnL, terrible entries)\nDetect bots (inhuman trading speed)\nFind arbitrage opportunities (hedged positions)\nUnderstand trader psychology (FOMO vs. discipline)\n\nAll metrics and analysis patterns used here are derived from that work. If you find this useful, give the original post a read and follow @thejayden." }, { "title": "Links", "body": "Full Simmer API Reference: simmer.markets/docs.md\nOriginal Analysis: The Autopsy: How to Read the Mind of a Polymarket Whale\nDashboard: simmer.markets/dashboard\nSupport: Telegram" } ], "body": "Polymarket Wallet X-Ray\n\nAnalyze any Polymarket wallet's trading patterns, skill level, and edge detection.\n\nNo authentication needed. Queries Polymarket's public CLOB API directly.\n\nInspired by: The Autopsy: How to Read the Mind of a Polymarket Whale by @thejayden\n\nThis skill implements the forensic trading analysis framework developed by @thejayden. Read the original post to understand the philosophy behind Time Profitable, hedge checks, bot detection, and accumulation signals.\n\nThis is an analysis tool, not a trading signal. The skill returns forensic metrics for ANY Polymarket wallet — your agent uses them to UNDERSTAND traders, learn patterns, and make informed decisions. This is for education and research, not for blindly copying positions.\n\n⚠️ Important Disclaimer\n\nPast performance does not guarantee future results. A wallet's historical metrics tell you about:\n\n✅ How they traded in the past\n✅ Their historical win rate and entry quality\n❌ NOT whether their strategy will work going forward\n\nWhy copying is risky:\n\nMarket conditions change constantly\nA trader's edge might have been luck, timing, or specific to historical events\nSlippage and fees erode thin edges to zero\nOther traders copying the same strategy destroy the edge\n\nUse this skill to:\n\n✅ Learn what skilled traders look like (metrics, behavior)\n✅ Identify potential anomalies (bots, arbitrageurs)\n✅ Understand trader psychology (FOMO vs. discipline)\n✅ Inform your own strategy decisions\n\nDO NOT use this skill to:\n\n❌ Automatically copytrade wallets\n❌ Expect to replicate their returns\n❌ Trade on these metrics without understanding why\n❌ Risk significant capital on patterns you don't understand\nWhen to Use This Skill\n\nUse this skill when you want to:\n\nLearn how skilled traders operate — What metrics separate winners from losers?\nUnderstand trading psychology — Who chases prices? Who has discipline?\nDetect bots and anomalies — Identify suspicious patterns for research\nResearch arbitrage activity — Find wallets with hedged positions (educational)\nCompare trader profiles — What does a consistent trader look like vs. a lucky one?\nInform your own strategy — Use patterns as input to YOUR decision-making, not as direct signals\n\nNOT for:\n\nCopying trades blindly or automatically\nAssuming past returns = future returns\nMaking large bets on these metrics alone\nQuick Commands\n# Analyze a single wallet\npython wallet_xray.py 0x1234...abcd\n\n# Analyze wallet + only look at specific market\npython wallet_xray.py 0x1234...abcd \"Bitcoin\"\n\n# Compare two wallets head-to-head\npython wallet_xray.py 0x1111... 0x2222... --compare\n\n# Find wallets matching criteria (top Time Profitable in market)\npython wallet_xray.py \"Will BTC hit $100k?\" --top-wallets 5 --dry-run\n\n# Check your account status\npython scripts/status.py\n\n\nAPIs Used (Public, No Auth Required):\n\nGamma API: https://gamma-api.polymarket.com — Market search\nCLOB API: https://clob.polymarket.com — Trade history and orderbook\nWhat You Get Back\n\nThe skill returns comprehensive forensic metrics:\n\n{\n \"wallet\": \"0x1234...abcd\",\n \"total_trades\": 156,\n \"total_period_hours\": 42.5,\n \"profitability\": {\n \"time_profitable_pct\": 75.3,\n \"win_rate_pct\": 68.2,\n \"avg_profit_per_win\": 0.035,\n \"avg_loss_per_loss\": -0.018,\n \"realized_pnl_usd\": 2450.00\n },\n \"entry_quality\": {\n \"avg_slippage_bps\": 28,\n \"quality_rating\": \"B+\",\n \"assessment\": \"Good entries, occasional FOMO\"\n },\n \"behavior\": {\n \"is_bot_detected\": false,\n \"trading_intensity\": \"high\",\n \"avg_seconds_between_trades\": 45,\n \"price_chasing\": \"moderate\",\n \"accumulation_signal\": \"growing\"\n },\n \"edge_detection\": {\n \"hedge_check_combined_avg\": 0.98,\n \"has_arbitrage_edge\": false,\n \"assessment\": \"No locked-in edge; relies on direction\"\n },\n \"risk_profile\": {\n \"max_drawdown_pct\": 12.5,\n \"volatility\": \"medium\",\n \"max_position_concentration\": 0.22\n },\n \"recommendation\": \"Good trader. Skilled entries, disciplined sizing. Good metrics for learning from. Not advice to copytrade.\"\n}\n\nHow It Works\nFetch trade history — Download all trades this wallet made from Polymarket via Simmer API\nCompute profitability timeline — When were they underwater vs. profitable?\nAnalyze entry quality — Did they buy at optimal prices or chase?\nDetect trading patterns — Bot (inhuman speed) vs. human (deliberate timing)?\nCheck for arbitrage — Combined YES+NO avg < $1.00? (Potential structural edge — depends on execution and fees)\nAssess behavior — FOMO accumulation? Disciplined sizing? Rotating positions?\nGenerate recommendation — Is this wallet worth following? What's the risk?\nUnderstanding the Metrics\n⏱️ Time Profitable (e.g., 75.3%)\n\nWallet was profitable (not underwater) for 75% of their trading period. This wallet endured only 25% painful drawdowns — that's discipline.\n\n>80% = Sniper-like (skilled entries, holds through drawdowns)\n50-80% = Solid (good discipline)\n<50% = Risky (likely panic-held losses)\n🎯 Entry Quality (e.g., 28 bps average slippage)\n\nThey buy near the best available price. 28 basis points is normal for active traders. No evidence of FOMO market orders.\n\n<20 bps = Expert. Limit orders, patience.\n20-40 bps = Good. Balanced speed/price.\n>50 bps = Weak. Chasing prices.\n🤖 Bot Detection (e.g., false)\n\nAverage 45 seconds between trades. This is human. A bot would be <1 second.\n\n<5 sec = Likely bot. Avoid unless you know it's a legitimate market maker.\n5-30 sec = Possible bot.\n>30 sec = Human.\n💰 Hedge Check (e.g., combined avg 0.98)\n\nIf they bought YES at $0.70 and NO at $0.30, combined = $1.00. This wallet spent exactly what they should to be neutral.\n\nIf combined < $1.00, they may have entered with a structural edge (lower combined cost than $1 payout). Actual profit depends on execution, fees, and spread.\n\n< $0.95 = Strong potential edge. Likely institutional/pro.\n$0.95-1.00 = Slight edge detected.\n> $1.00 = No edge; betting on direction.\nUsage Examples\nExample 1: Learning from a skilled trader (Analysis)\nimport subprocess\nimport json\n\n# Analyze a wallet known for skilled trading\nresult = subprocess.run(\n [\"python\", \"wallet_xray.py\", \"0x123...abc\", \"--json\"],\n capture_output=True,\n text=True\n)\ndata = json.loads(result.stdout)\n\n# LEARN from their profile, don't copy blindly\ntime_prof = data[\"profitability\"][\"time_profitable_pct\"]\nentry_qual = data[\"entry_quality\"][\"quality_rating\"]\n\nprint(f\"📊 What this trader does well:\")\nprint(f\" • Time Profitable: {time_prof}% (disciplined)\")\nprint(f\" • Entry Quality: {entry_qual} (patient buyer)\")\nprint(f\" • Behavior: {data['behavior']['accumulation_signal']} (not FOMO)\")\n\n# THEN: Ask yourself\n# - Why are they profitable? (skill or luck?)\n# - Can I replicate their decision-making process?\n# - Do I have their capital size, timing, or information?\n\nExample 2: Research anomalies (Education)\n# Analyze multiple wallets to understand patterns\nwallets = [\"0x111...\", \"0x222...\", \"0x333...\"]\n\nprint(\"Comparing trader profiles:\")\nfor wallet in wallets:\n result = subprocess.run(\n [\"python\", \"wallet_xray.py\", wallet, \"--json\"],\n capture_output=True,\n text=True\n )\n data = json.loads(result.stdout)\n\n is_bot = \"🤖 BOT\" if data[\"behavior\"][\"is_bot_detected\"] else \"👤 HUMAN\"\n print(f\"\\n{wallet}: {is_bot}\")\n print(f\" Win Rate: {data['profitability']['win_rate_pct']}%\")\n print(f\" Time Profitable: {data['profitability']['time_profitable_pct']}%\")\n\n# Use this data to understand what successful trading LOOKS LIKE\n# Then build your own strategy based on these insights\n\nExample 3: Informed decision-making (NOT blind copying)\n# Analyze before you decide what to do\nresult = subprocess.run(\n [\"python\", \"wallet_xray.py\", \"0x123...abc\", \"--json\"],\n capture_output=True,\n text=True\n)\ndata = json.loads(result.stdout)\n\n# Make an INFORMED decision based on analysis + YOUR OWN JUDGMENT\nif data[\"profitability\"][\"time_profitable_pct\"] > 75 and \\\n data[\"entry_quality\"][\"quality_rating\"] in [\"A\", \"A+\"]:\n\n print(f\"✅ This wallet shows skill (high Time Profitable, good entries)\")\n print(f\"⚠️ But I will NOT copytrade blindly.\")\n print(f\"📋 Instead, I'll:\")\n print(f\" 1. Backtest their patterns on fresh data\")\n print(f\" 2. Add my own market signals\")\n print(f\" 3. Start with small position (1-2% of capital)\")\n print(f\" 4. Monitor for next 30 days\")\n print(f\" 5. Adjust if it stops working\")\nelse:\n print(f\"❌ This wallet doesn't show strong enough metrics.\")\n print(f\" Safer to avoid or research further before deciding.\")\n\nRunning the Skill\n\nAnalyze a single wallet (default):\n\npython wallet_xray.py 0x1234...abcd\n\n\nAnalyze wallet for a specific market:\n\npython wallet_xray.py 0x1234...abcd \"Bitcoin\"\n\n\nOutput as JSON (for scripts):\n\npython wallet_xray.py 0x1234...abcd --json\n\n\nCompare two wallets:\n\npython wallet_xray.py 0x1111... 0x2222... --compare\n\n\nLimit analysis to recent trades (faster):\n\npython wallet_xray.py 0x1234...abcd --limit 100\n\nTroubleshooting\n\n\"Wallet has no trades\"\n\nThis wallet hasn't traded yet, or all trades are too old\nTry a wallet you know is active\n\n\"Market not found\"\n\nThe market query didn't match anything on Polymarket\nTry a more specific market name or leave it blank to analyze all markets\n\n\"Analysis took too long\"\n\nFor wallets with >500 trades, analysis can take 30+ seconds\nUse --limit 100 to analyze only recent trades for faster results\n\n\"API rate limited\"\n\nYou're analyzing many wallets in quick succession\nWait a minute before trying again, or use --limit to speed up individual analyses\n\n\"Connection error\"\n\nCheck that Polymarket's CLOB API is reachable: curl https://clob.polymarket.com/trades\nIf down, try again later or use --limit 50 to reduce load\nCredits\n\nThis skill is based on the forensic trading analysis framework from @thejayden's \"Autopsy of a Polymarket Whale\".\n\nThe original post shows how to:\n\nSpot fake gurus (high PnL, terrible entries)\nDetect bots (inhuman trading speed)\nFind arbitrage opportunities (hedged positions)\nUnderstand trader psychology (FOMO vs. discipline)\n\nAll metrics and analysis patterns used here are derived from that work. If you find this useful, give the original post a read and follow @thejayden.\n\nLinks\nFull Simmer API Reference: simmer.markets/docs.md\nOriginal Analysis: The Autopsy: How to Read the Mind of a Polymarket Whale\nDashboard: simmer.markets/dashboard\nSupport: Telegram" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/adlai88/polymarket-wallet-xray", "publisherUrl": "https://clawhub.ai/adlai88/polymarket-wallet-xray", "owner": "adlai88", "version": "1.0.4", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/polymarket-wallet-xray", "downloadUrl": "https://openagent3.xyz/downloads/polymarket-wallet-xray", "agentUrl": "https://openagent3.xyz/skills/polymarket-wallet-xray/agent", "manifestUrl": "https://openagent3.xyz/skills/polymarket-wallet-xray/agent.json", "briefUrl": "https://openagent3.xyz/skills/polymarket-wallet-xray/agent.md" } }