Farm Monitor
CheckedEnuno's farm-monitor analyzes sensor data to proactively identify crop stress, irrigation issues, and pest risks.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add enuno/claude-command-and-control --skill farm-monitor -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
enuno
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned enuno/claude-command-and-control at 374183f091.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 374183f091
- Manifest
- skills/farm-monitor/SKILL.md
- Scanned
- 8 files, 349 lines
About this skill
What it does
The farm-monitor skill provides real-time monitoring and reporting of key metrics from a farming operation. It can track factors like soil moisture, temperature, humidity, and crop health using data from various sensors. This allows for proactive adjustments to irrigation, fertilization, and pest control strategies, ultimately optimizing yield and resource utilization.
When to use it
- Irrigation Management: Determine if crops need watering based on real-time soil moisture levels.
- Pest & Disease Prevention: Identify potential outbreaks early by monitoring temperature and humidity patterns.
- Yield Optimization: Track crop health indicators to adjust fertilization schedules for maximum growth.
- Resource Efficiency: Reduce water and fertilizer waste through data-driven decision making.
Key capabilities
- Sensor Data Integration: Connects to various agricultural sensors.
- Real-time Monitoring: Provides up-to-the-minute readings of key metrics.
- Reporting & Alerts: Generates reports and sends alerts based on predefined thresholds.
- Data Visualization: Presents data in an easily understandable format (implied).
Example prompts
- "What's the current soil moisture level in field A?"
- "Show me a graph of temperature trends over the last 24 hours."
- "Alert me if humidity exceeds 80% in greenhouse B."
Tips & gotchas
The skill requires access to sensor data feeds and may require configuration depending on the specific sensors used. Ensure proper authentication credentials are provided for seamless integration.