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No trust telemetry is available yet. 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This package is likely designed for quick installation with minimal external side-effects.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/dify-qaq/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/dify-qaq/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/dify-qaq/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/dify-qaq/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/dify-qaq/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/dify-qaq/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":[]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"DIFY_MARKETPLACE","generatedAt":"2026-10-09T05:12:32.785Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/dify-qaq/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/dify-qaq/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/dify-qaq/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/dify-qaq/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"Dify","verified":false,"confidence":"high","updatedAt":"2026-10-09T01:20:55.739Z","emptyReason":null},"readme":"1. 在电脑上安装并启动 Ollama。\r\n2. 执行以下命令下载模型：\r\n   `ollama pull deepseek-r1:1.5b`\r\n3. 在 Dify 的模型供应商页面安装 Ollama 插件。\r\n4. 如果使用 Dify 云服务，需要通过 ngrok 等工具将本地 Ollama 服务映射为可访问的 HTTPS 地址，并保持隧道运行。\r\n5. 在 Dify 中添加 Ollama 模型，配置如下：\r\n   - 模型名称：`deepseek-r1:1.5b`\r\n   - 模型类型：`LLM`\r\n   - 模型模式：`对话`\r\n   - 上下文长度：`4096`\r\n   - API 密钥：留空\r\n   - 基础 URL：填写可访问的 Ollama 服务地址，不要添加 `/api` 或 `/v1`\r\n6. 在 LLM 节点中选择 `deepseek-r1:1.5b`。\r\n7. 确认 USER 消息引用了“用户输入/query”变量。\r\n8. 确认“直接回复”节点引用了“LLM/text”变量。\r\n9. 使用预览功能输入求职问题并测试应用。\r\n10. 测试成功后发布应用。\r\n11. 使用期间必须保持 Ollama 和内网穿透服务正常运行。","readmeExcerpt":"1. 在电脑上安装并启动 Ollama。 2. 执行以下命令下载模型： ollama pull deepseek-r1:1.5b 3. 在 Dify 的模型供应商页面安装 Ollama 插件。 4. 如果使用 Dify 云服务，需要通过 ngrok 等工具将本地 Ollama 服务映射为可访问的 HTTPS 地址，并保持隧道运行。 5. 在 Dify 中添加 Ollama 模型，配置如下： - 模型名称：deepseek-r1:1.5b - 模型类型：LLM - 模型模式：对话 - 上下文长度：4096 - API 密钥：留空 - 基础 URL：填写可访问的 Ollama 服务地址，不要添加 /api 或 /v1 6. 在 LLM 节点中选择 deepseek-r1:1.5b。 7. 确认 USER 消息引用了“用户输入/query”变量。 8. 确认“直接回复”节点引用了“LLM/text”变量。 9. 使用预览功能输入求职问","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["zh-Hans"],"docsSourceLabel":"Dify","editorialOverview":"一个面向求职者的智能就业助手，提供职业规划、岗位分析、简历优化、面试准备和求职问题解答。应用会根据用户的学历、专业、工作经验、技能及目标岗位，生成清晰、实用且可执行的中文求职建议。 1. 在电脑上安装并启动 Ollama。 2. 执行以下命令下载模型： ollama pull deepseek-r1:1.5b 3. 在 Dify 的模型供应商页面安装 Ollama 插件。 4. 如果使用 Dify 云服务，需要通过 ngrok 等工具将本地 Ollama 服务映射为可访问的 HTTPS 地址，并保持隧道运行。 5. 在 Dify 中添加 Ollama 模型，配置如下： - 模型名称：deepseek-r1:1.5b - 模型类型：LLM - 模型模式：对话 - 上下文长度：4096 - API 密钥：留空 - 基础 URL：填写可访问的 Ollama 服务地址，不要添加 /api 或 /v1 6. 在 LLM 节点中选择 deepseek-r1:1.5b。 7. 确认 USER 消息引用了“用户输入/query”变量。 8. 确认“直接回复”节点引用了“LLM/text”变量。 9. 使用预览功能输入求职问","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":322,"uniquenessScore":70,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T01:20:55.739Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T01:20:55.739Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"agent-directory","verified":false,"confidence":"low","updatedAt":"2026-10-09T05:12:32.785Z","emptyReason":"No close protocol neighbors were found."},"items":[],"links":{"hub":"/agent","source":"/agent/source/dify_marketplace","protocols":[]}}}