[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6GNDRGDQ0AY4SNT5C8R589J":3,"skill-same:01M6GNDRGDQ0AY4SNT5C8R589J":83},{"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":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":41,"linkOnly":42,"markdownContent":43,"markdownBody":44,"frontMatter":45,"refName":46,"commitSha":47,"skillDirectory":48,"forksCount":49,"repositoryHtmlUrl":50,"repositoryHomepageUrl":6,"ownerHtmlUrl":51,"ownerBlogUrl":52,"ownerDescription":53,"updatedAt":54,"install":55,"resources":68},"01M6GNDRGDQ0AY4SNT5C8R589J","venice-private-ai",null,"Use Venice AI for private, no-data-retention LLM inference. OpenAI-compatible API with privacy guarantees — no prompts, completions, or user data stored. Use when asked about private AI inference, confidential reasoning, Venice API, or zero-retention LLM providers.","jiayaoqijia\u002Fcryptoskill","jiayaoqijia","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1453879?v=4","01M6GMYTX7Q7S504VC6E756ENR","YQ","01M6GMYV1QKJ1CC75MTTGT9PR0",81,"AGPL-3.0","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fai-crypto\u002Fvenice-private-ai\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fai-crypto\u002Fvenice-private-ai\u002FSKILL.md",[],[20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"venice","venice private ai","use","when","for","venice ai","openai-compatible","with","about","retention","prompts","inference","user","llm inference","api","Providers","data","privacy","ZeRO","openai","reasoning","2026-11-10 10:12:30",false,"---\nname: venice-private-ai\ndescription: >\n  Use Venice AI for private, no-data-retention LLM inference. OpenAI-compatible API with\n  privacy guarantees — no prompts, completions, or user data stored. Use when asked about\n  private AI inference, confidential reasoning, Venice API, or zero-retention LLM providers.\n---\n\n# Venice Private AI\n\nPrivate LLM inference via Venice AI — an OpenAI-compatible API with zero data retention.\n\n## Why Venice for Agents\n\nVenice provides \"private cognition\" — the LLM processes sensitive data (portfolio values, trading strategies, wallet addresses) without retaining any of it. This is critical for agents handling:\n- Confidential treasury management\n- Private governance analysis\n- Sensitive due diligence on DeFi positions\n- Deal negotiation without data leakage\n\n## API (OpenAI-compatible)\n\nBase: `https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1`\n\n> Uses standard OpenAI API format. Requires `Authorization: Bearer YOUR_VENICE_API_KEY`.\n\n**Chat completion** (private, zero retention):\n```\nexec command=\"curl -s -X POST 'https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\u002Fchat\u002Fcompletions' -H 'Content-Type: application\u002Fjson' -H 'Authorization: Bearer YOUR_KEY' -d '{\\\"model\\\":\\\"venice-uncensored\\\",\\\"messages\\\":[{\\\"role\\\":\\\"user\\\",\\\"content\\\":\\\"Analyze this DeFi position...\\\"}]}'\"\n```\n\n**List models**:\n```\nweb_fetch url=\"https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\u002Fmodels\" headers=\"Authorization: Bearer YOUR_KEY\"\n```\n\n## Available Models\n\n| Model | Type | Use Case |\n|-------|------|----------|\n| `venice-uncensored` | Text | General reasoning, uncensored |\n| `llama-3.3-70b` | Text | Strong general purpose |\n| `qwen-2.5-coder` | Code | Code generation |\n| `deepseek-r1-671b` | Text | Deep reasoning |\n\n## Ottie Integration\n\nVenice works as a drop-in provider via Ottie's OpenAI-compatible provider. Config:\n\n```json\n{\n  \"model_list\": [{\n    \"model_name\": \"venice-private\",\n    \"model\": \"venice\u002Fvenice-uncensored\",\n    \"api_base\": \"https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\",\n    \"api_key\": \"YOUR_VENICE_KEY\"\n  }]\n}\n```\n\n## Privacy Guarantees\n\n- **Zero data retention**: no prompts, completions, or metadata stored\n- **No training on user data**: queries never used for model training\n- **No logging**: inference requests are not logged\n- **Decentralized**: inference runs on distributed GPU infrastructure\n\n## Privacy Architecture for Agents\n\nCombine Venice with Ottie's security model:\n\n1. **ClawWall DLP** — prevents sensitive data (private keys, mnemonics) from reaching any LLM\n2. **Venice inference** — zero-retention processing of financial data\n3. **Domain constraint** — agent cannot access email, files, browser — only blockchain\n4. **On-chain verification** — all actions produce verifiable on-chain receipts\n\n## Use Cases\n\n- **Private treasury copilot**: analyze portfolio without exposing holdings to LLM provider\n- **Confidential governance**: evaluate DAO proposals using private voting preferences\n- **Risk assessment**: process position data without metadata leakage\n- **Multi-agent coordination**: agents share sensitive analysis via private inference channels\n","# Venice Private AI\n\nPrivate LLM inference via Venice AI — an OpenAI-compatible API with zero data retention.\n\n## Why Venice for Agents\n\nVenice provides \"private cognition\" — the LLM processes sensitive data (portfolio values, trading strategies, wallet addresses) without retaining any of it. This is critical for agents handling:\n- Confidential treasury management\n- Private governance analysis\n- Sensitive due diligence on DeFi positions\n- Deal negotiation without data leakage\n\n## API (OpenAI-compatible)\n\nBase: `https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1`\n\n> Uses standard OpenAI API format. Requires `Authorization: Bearer YOUR_VENICE_API_KEY`.\n\n**Chat completion** (private, zero retention):\n```\nexec command=\"curl -s -X POST 'https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\u002Fchat\u002Fcompletions' -H 'Content-Type: application\u002Fjson' -H 'Authorization: Bearer YOUR_KEY' -d '{\\\"model\\\":\\\"venice-uncensored\\\",\\\"messages\\\":[{\\\"role\\\":\\\"user\\\",\\\"content\\\":\\\"Analyze this DeFi position...\\\"}]}'\"\n```\n\n**List models**:\n```\nweb_fetch url=\"https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\u002Fmodels\" headers=\"Authorization: Bearer YOUR_KEY\"\n```\n\n## Available Models\n\n| Model | Type | Use Case |\n|-------|------|----------|\n| `venice-uncensored` | Text | General reasoning, uncensored |\n| `llama-3.3-70b` | Text | Strong general purpose |\n| `qwen-2.5-coder` | Code | Code generation |\n| `deepseek-r1-671b` | Text | Deep reasoning |\n\n## Ottie Integration\n\nVenice works as a drop-in provider via Ottie's OpenAI-compatible provider. Config:\n\n```json\n{\n  \"model_list\": [{\n    \"model_name\": \"venice-private\",\n    \"model\": \"venice\u002Fvenice-uncensored\",\n    \"api_base\": \"https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\",\n    \"api_key\": \"YOUR_VENICE_KEY\"\n  }]\n}\n```\n\n## Privacy Guarantees\n\n- **Zero data retention**: no prompts, completions, or metadata stored\n- **No training on user data**: queries never used for model training\n- **No logging**: inference requests are not logged\n- **Decentralized**: inference runs on distributed GPU infrastructure\n\n## Privacy Architecture for Agents\n\nCombine Venice with Ottie's security model:\n\n1. **ClawWall DLP** — prevents sensitive data (private keys, mnemonics) from reaching any LLM\n2. **Venice inference** — zero-retention processing of financial data\n3. **Domain constraint** — agent cannot access email, files, browser — only blockchain\n4. **On-chain verification** — all actions produce verifiable on-chain receipts\n\n## Use Cases\n\n- **Private treasury copilot**: analyze portfolio without exposing holdings to LLM provider\n- **Confidential governance**: evaluate DAO proposals using private voting preferences\n- **Risk assessment**: process position data without metadata leakage\n- **Multi-agent coordination**: agents share sensitive analysis via private inference channels\n",{"name":5,"description":7},"main","3df1d0d67b30ff15236561f8c0f9f06d33f42dfd","skills\u002Fai-crypto\u002Fvenice-private-ai",17,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia","https:\u002F\u002Feth2030.com","Hardcore infra. Building @alt-research and applied cryptography.","2026-11-12 02:28:42",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add jiayaoqijia\u002Fcryptoskill --skill venice-private-ai",{"tool":61,"command":62},"bunx","bunx skills add jiayaoqijia\u002Fcryptoskill --skill venice-private-ai",{"tool":64,"command":65},"pnpm","pnpm dlx skills add jiayaoqijia\u002Fcryptoskill --skill venice-private-ai","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fai-crypto\u002Fvenice-private-ai\u002FSKILL.md",true,[69,73,79],{"path":70,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":16},"LICENSE","许可证",34562,{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"SOURCE.md","REFERENCE","参考文档",177,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fai-crypto\u002Fvenice-private-ai\u002FSOURCE.md",{"path":80,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":81,"sourceHtmlUrl":82},"TRUST.auto.yaml",2217,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fai-crypto\u002Fvenice-private-ai\u002FTRUST.auto.yaml",[84,113,134,151,164,174],{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":88,"licenseFileUrl":89,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":41},"01M712C436EQYE43342Q4E7GG1","recipe-performance","Diagnose a specific MetaMask user flow's real-app performance and Sentry critical-user-flow telemetry with deterministic mm-harness recipes. Use for CUF boundaries, cold\u002Fwarm\u002Fbackground-resume behavior, latency regressions, lifecycle tags, duplicate or blocking network requests, long tasks, layout\u002Fpaint cost, screen redraws, React rerenders, or browser trace analysis where tests alone cannot prove the real app.","MIT","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fwallets\u002Fmetamask-official-recipe-performance\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fwallets\u002Fmetamask-official-recipe-performance\u002FSKILL.md",[],[93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112],"performance","recipe 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keys.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-spot-websocket\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-spot-websocket\u002FSKILL.md",[],[122,123,124,34,125,126,127,128,129,130,24,131,132,133],"mexc spot websocket","spot","websocket","workflows","public","listen","streams","depth","keys","api keys","maintenance","protobuf",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":117,"licenseFileUrl":138,"sourceHtmlUrl":139,"categories":140,"keywords":141,"publishedAt":41},"01M70XT0MBXN3WZY1BKN0CPNKR","mexc-spot-rest","MEXC Spot REST workflows for public data, signed account requests, orders, wallet\u002Fadmin actions, and secure signing without exposing API keys.","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-spot-rest\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-spot-rest\u002FSKILL.md",[],[142,123,143,144,145,146,147,131,24,130,148,149,36,126,150,125,34],"mexc spot rest","REST","admin","signing","Wallet","requests","actions","secure","orders",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":117,"licenseFileUrl":155,"sourceHtmlUrl":156,"categories":157,"keywords":158,"publishedAt":41},"01M70XSYSVZ2N0N91XCAR2CAK0","mexc-futures-websocket","MEXC Futures WebSocket workflows for public streams, private account\u002Forder\u002Fposition streams, ping\u002Fpong, subscriptions, and depth maintenance.","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-futures-websocket\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fexchanges\u002Fmncrftfrcnm-mexc-futures-websocket\u002FSKILL.md",[],[159,160,124,161,162,132,24,163,129,128,126,125],"mexc futures websocket","futures","position","ping","subscriptions",{"skillNo":165,"name":166,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":88,"licenseFileUrl":167,"sourceHtmlUrl":168,"categories":169,"keywords":170,"publishedAt":41},"01M6H0ZWHVE5W04WG2DKQE2SQC","0xklen-version-and-refresh-sanctions-lists","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fpayments\u002F0xklen-version-and-refresh-sanctions-lists\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fpayments\u002F0xklen-version-and-refresh-sanctions-lists\u002FSKILL.md",[],[171,172,173],"refresh","0xklen version and refresh sanctions lists","version",{"skillNo":175,"name":176,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":88,"licenseFileUrl":178,"sourceHtmlUrl":179,"categories":180,"keywords":181,"publishedAt":41},"01M6H0Z28Q3R8J0S799GJQWXM3","verify-tests-cover-changed-lines","Use when a PR adds code that the existing suite may not exercise. Measures patch coverage — the share of newly changed lines hit by tests — before approving.","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fpayments\u002F0xklen-verify-tests-cover-changed-lines\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fpayments\u002F0xklen-verify-tests-cover-changed-lines\u002FSKILL.md",[],[182,183,184,185,186,187,188,22,189,190,191],"tests","cover","verify tests cover changed lines","verify","coverage","pr","exercise","patch","code","share"]