Install
openclaw skills install qverisai-1-0-1Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically — covers weather, search, stocks, finance,...
openclaw skills install qverisai-1-0-1QVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters.
Requires environment variable:
QVERIS_API_KEY - Get from https://qveris.aiNo additional dependencies — uses Node.js built-in fetch.
QVERIS_API_KEY is accessed. No other env vars or secrets are read.https://qveris.ai/api/v1 over HTTPS. No other endpoints are contacted.node scripts/qveris_tool.mjs search "weather forecast API"
node scripts/qveris_tool.mjs execute openweathermap_current_weather --search-id <id> --params '{"city": "London", "units": "metric"}'
node scripts/qveris_tool.mjs <command> [options]
Commands:
search <query> Search for tools matching a capability description
execute <tool_id> Execute a specific tool with parameters
Options:
--limit N Max results for search (default: 10)
--search-id ID Search ID from previous search (required for execute)
--params JSON Tool parameters as JSON string
--max-size N Max response size in bytes (default: 20480)
--timeout N Request timeout in seconds (default: 30 for search, 60 for execute)
--json Output raw JSON instead of formatted display
Search: Describe the capability needed (not specific parameters)
Select: Review tools by success_rate and avg_execution_time
Execute: Call tool with tool_id, search_id, and parameters
# Find weather tools
node scripts/qveris_tool.mjs search "current weather data"
# Execute with returned tool_id and search_id
node scripts/qveris_tool.mjs execute openweathermap_current_weather \
--search-id abc123 \
--params '{"city": "Tokyo", "units": "metric"}'