Prototype smart irrigation skill scaffold for greenhouse and outdoor zones using Tuya sensors and weather data.

This skill appears to implement a reasonable irrigation prototype, but the package metadata is inconsistent with what the code actually needs. Before installing or running it: 1) Ensure the dependent tuya-cloud skill is installed and inspect its tuya_controller.py — the TuyaClient calls that script via subprocess, so that other skill's code will execute on your machine. 2) Provide and protect Tuya credentials (TUYA_ACCESS_ID, TUYA_ACCESS_SECRET, TUYA_API_ENDPOINT) as instructed by tuya-cloud; the skill’s metadata did not declare these required env vars. 3) Review and, if needed, change config/system.json reporting.bot_account_id and bot_target so the skill will not send notifications to unknown endpoints. 4) Be aware the skill writes data to disk (data/ or configured base_dir, default ../data) — confirm the path is acceptable. 5) Run initially in a safe environment (no real valves attached or with automation disabled / require_confirmation enabled) until you verify behaviour. If you want a cleaner trust boundary, ask the author to update the skill metadata to list required env vars, required config paths, and the dependency on tuya-cloud explicitly.

Type: OpenClaw Skill Name: garden-irrigation Version: 1.0.1 The garden-irrigation skill is a well-structured prototype for automated plant care. It integrates with Tuya IoT devices by executing scripts from a required secondary skill (tuya-cloud) via subprocess.run and fetches weather data from the public Open-Meteo API. The skill includes a reporting system that uses the OpenClaw agent's messaging tools to send updates to a user-configured destination. All high-risk operations, such as device control and network requests, are transparently implemented and strictly aligned with the stated purpose of smart irrigation.