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Install in OpenClaw
/install tm-soil-moisture
Description
专为文冠果种植设计的智慧农业数据分析助手，提供基于多深度（10cm-100cm）土壤温湿度传感器数据的实时查询、区域墒情聚合分析及智能灌溉决策支持。
Usage Guidance
This skill appears to do exactly what it claims: read a local SQLite DB and analyze sensor JSON for multi-depth soil moisture and irrigation advice. Before installing or running it, confirm the DB path (/usr/apps/config/agri.db) is the intended database and contains only data you permit the skill to read. If you plan to run it as an MCP service (pip install mcp and --mcp), be aware that it will expose the three tools to the host LLM environment — run that only on a trusted host or in an isolated environment. If you need the skill to warn automatically about low battery at the 3.5V threshold, consider patching the code to emit that specific warning. Otherwise there are no obvious requests for unrelated credentials or network exfiltration.
Capability Analysis
Type: OpenClaw Skill
Name: tm-soil-moisture
Version: 1.0.0
The skill bundle is a legitimate tool for agricultural data analysis, specifically for monitoring soil moisture in yellowhorn plantations. The Python code (pico_claw_brain.py) interacts with a local SQLite database using safe, parameterized queries and contains no network exfiltration, shell execution, or obfuscation. The instructions in SKILL.md are strictly aligned with the stated purpose of providing irrigation advice and device health monitoring.
Capability Assessment
Purpose & Capability
The name/description (soil moisture analysis for 文冠果) match the implementation: the code reads a local SQLite DB, parses multi-depth Soil_Temp/Soil_Humi fields, computes depth averages, and provides irrigation advice. No unrelated credentials, binaries, or network dependencies are required by default.
Instruction Scope
SKILL.md instructs the agent to query a local SQLite DB and call three tools (query_device_data, calculate_depth_average, check_irrigation_advice) — the code implements exactly those. One minor scope note: SKILL.md mentions possible weather API integration, but the shipped code uses simulated weather (no external calls). Also the SKILL.md asks the assistant to 'proactively warn on low battery'; the code reports power but does not auto-emit a low-voltage warning string at the stated 3.5V threshold (it prints the battery value). This is a functional mismatch, not a confidentiality or lateral-access concern.
Install Mechanism
There is no install spec; the skill is instruction+script only. The only optional runtime dependency is the 'mcp' package (documented) to expose MCP tools. No downloads or archive extraction are performed.
Credentials
The skill requests no environment variables or external credentials. It does require read access to a local SQLite database at a hard-coded path (/usr/apps/config/agri.db), which is proportional to its purpose but does mean the skill needs filesystem access to that DB. No secret-exposing env vars or unrelated service keys are requested.
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide settings. If the optional 'mcp' package is installed and the script is run with --mcp, it will register callable tools — that is expected behavior for an MCP plugin and not excessive on its own.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tm-soil-moisture - After installation, invoke the skill by name or use
/tm-soil-moisture - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
TM Soil Moisture Skill 1.0.0
- Initial release tailored for Shiny-leaved yellowhorn plantation monitoring.
- Real-time multi-depth (10cm–100cm) soil temperature and moisture data analysis.
- Supports device-specific queries, regional depth-based aggregation, and intelligent irrigation decision support.
- Automatically alerts users of device anomalies (e.g., low battery, weak signal).
- Delivers readable, emoji-enhanced responses with proper units and proactive soil health insights.
Metadata
Frequently Asked Questions
What is TM Soil Moisture Skill?
专为文冠果种植设计的智慧农业数据分析助手，提供基于多深度（10cm-100cm）土壤温湿度传感器数据的实时查询、区域墒情聚合分析及智能灌溉决策支持。 It is an AI Agent Skill for Claude Code / OpenClaw, with 140 downloads so far.
How do I install TM Soil Moisture Skill?
Run "/install tm-soil-moisture" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is TM Soil Moisture Skill free?
Yes, TM Soil Moisture Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does TM Soil Moisture Skill support?
TM Soil Moisture Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created TM Soil Moisture Skill?
It is built and maintained by lu87985 (@lu87985); the current version is v1.0.0.
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