{ "schemaVersion": "1.0", "item": { "slug": "qveris", "name": "Qveris", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/hqman/qveris", "canonicalUrl": "https://clawhub.ai/hqman/qveris", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/qveris", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=qveris", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "README.md", "README.zh-CN.md", "SKILL.md", "pyproject.toml", "scripts/qveris_tool.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": "2026-05-07T17:22:31.273Z", "expiresAt": "2026-05-14T17:22:31.273Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentDisposition": "attachment; filename=\"afrexai-annual-report-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/qveris" }, "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/qveris", "agentPageUrl": "https://openagent3.xyz/skills/qveris/agent", "manifestUrl": "https://openagent3.xyz/skills/qveris/agent.json", "briefUrl": "https://openagent3.xyz/skills/qveris/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": "QVeris Tool Search & Execution", "body": "QVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters." }, { "title": "Setup", "body": "Requires environment variable:\n\nQVERIS_API_KEY - Get from https://qveris.ai" }, { "title": "Search for tools", "body": "uv run scripts/qveris_tool.py search \"weather forecast API\"" }, { "title": "Execute a tool", "body": "uv run scripts/qveris_tool.py execute openweathermap_current_weather --search-id --params '{\"city\": \"London\", \"units\": \"metric\"}'" }, { "title": "Script Usage", "body": "scripts/qveris_tool.py [options]\n\nCommands:\n search Search for tools matching a capability description\n execute Execute a specific tool with parameters\n\nOptions:\n --limit N Max results for search (default: 5)\n --search-id ID Search ID from previous search (required for execute)\n --params JSON Tool parameters as JSON string\n --max-size N Max response size in bytes (default: 20480)\n --json Output raw JSON instead of formatted display" }, { "title": "Workflow", "body": "Search: Describe the capability needed (not specific parameters)\n\nGood: \"weather forecast API\"\nBad: \"get weather for London\"\n\n\n\nSelect: Review tools by success_rate and avg_execution_time\n\n\nExecute: Call tool with tool_id, search_id, and parameters" }, { "title": "Example Session", "body": "# Find weather tools\nuv run scripts/qveris_tool.py search \"current weather data\"\n\n# Execute with returned tool_id and search_id\nuv run scripts/qveris_tool.py execute openweathermap_current_weather \\\n --search-id abc123 \\\n --params '{\"city\": \"Tokyo\", \"units\": \"metric\"}'" }, { "title": "Use Cases", "body": "Weather Data: Get current weather, forecasts for any location\nStock Market: Query stock prices, historical data, earnings calendars\nSearch: Web search, news retrieval\nData APIs: Currency exchange, geolocation, translations\nAnd more: QVeris aggregates thousands of API tools" } ], "body": "QVeris Tool Search & Execution\n\nQVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters.\n\nSetup\n\nRequires environment variable:\n\nQVERIS_API_KEY - Get from https://qveris.ai\nQuick Start\nSearch for tools\nuv run scripts/qveris_tool.py search \"weather forecast API\"\n\nExecute a tool\nuv run scripts/qveris_tool.py execute openweathermap_current_weather --search-id --params '{\"city\": \"London\", \"units\": \"metric\"}'\n\nScript Usage\nscripts/qveris_tool.py [options]\n\nCommands:\n search Search for tools matching a capability description\n execute Execute a specific tool with parameters\n\nOptions:\n --limit N Max results for search (default: 5)\n --search-id ID Search ID from previous search (required for execute)\n --params JSON Tool parameters as JSON string\n --max-size N Max response size in bytes (default: 20480)\n --json Output raw JSON instead of formatted display\n\nWorkflow\n\nSearch: Describe the capability needed (not specific parameters)\n\nGood: \"weather forecast API\"\nBad: \"get weather for London\"\n\nSelect: Review tools by success_rate and avg_execution_time\n\nExecute: Call tool with tool_id, search_id, and parameters\n\nExample Session\n# Find weather tools\nuv run scripts/qveris_tool.py search \"current weather data\"\n\n# Execute with returned tool_id and search_id\nuv run scripts/qveris_tool.py execute openweathermap_current_weather \\\n --search-id abc123 \\\n --params '{\"city\": \"Tokyo\", \"units\": \"metric\"}'\n\nUse Cases\nWeather Data: Get current weather, forecasts for any location\nStock Market: Query stock prices, historical data, earnings calendars\nSearch: Web search, news retrieval\nData APIs: Currency exchange, geolocation, translations\nAnd more: QVeris aggregates thousands of API tools" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/hqman/qveris", "publisherUrl": "https://clawhub.ai/hqman/qveris", "owner": "hqman", "version": "0.1.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/qveris", "downloadUrl": "https://openagent3.xyz/downloads/qveris", "agentUrl": "https://openagent3.xyz/skills/qveris/agent", "manifestUrl": "https://openagent3.xyz/skills/qveris/agent.json", "briefUrl": "https://openagent3.xyz/skills/qveris/agent.md" } }