What is data-synthesis-dashboard?

A farm-data dashboard that brings equipment, weather, sensors, field work, market information, and other agricultural data into one view. It turns separate data sources into decision information for farm operations.

Use it to combine farm data and support decisions about equipment, weather, field operations, inputs, harvest timing, and market conditions.

Farm data often sits in disconnected applications and devices, making it slow and error-prone to judge when to plant, harvest, or apply inputs.

data-synthesis-dashboard — Skill by farmfriend-labs

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add farmfriend-labs/agent-skills-farming --skill data-synthesis-dashboard

Clone the repo

git clone --depth 1 https://github.com/farmfriend-labs/agent-skills-farming

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/farmfriend-labs/agent-skills-farming/data-synthesis-dashboard/github.svg)](https://agentmods.dev/skills/farmfriend-labs/agent-skills-farming/data-synthesis-dashboard)

Your own site

<a href="https://agentmods.dev/skills/farmfriend-labs/agent-skills-farming/data-synthesis-dashboard"><img src="https://agentmods.dev/badge/skills/farmfriend-labs/agent-skills-farming/data-synthesis-dashboard/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/farmfriend-labs/agent-skills-farming/data-synthesis-dashboard"><img src="https://agentmods.dev/badge/skills/farmfriend-labs/agent-skills-farming/data-synthesis-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,259 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.02259
Opus 5.5	$0.00000	$0.00904
Sonnet 5.5	$0.00000	$0.00452
Haiku 4.5	$0.00000	$0.00226

Measured 2mo ago against content hash e8e123bd18b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-synthesis-dashboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/dashboard.py, scripts/main.py, scripts/run.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/data-synthesis-dashboard/SKILL.md · 336 lines

How it starts

The opening of the file, as written. The whole thing — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Synthesis Dashboard

A unified dashboard that synthesizes equipment, weather, operations, and farm data into actionable intelligence for agricultural decision-making.

Purpose

Provide farmers with a single, comprehensive view of all relevant farm data sources, enabling informed decisions based on synthesized intelligence rather than fragmented information. The dashboard aggregates data from equipment telemetry, weather forecasts, field operations, market data, and other sources to present actionable insights and recommendations.

Problem Solved

Modern farm operations generate massive amounts of data across multiple systems: GPS guidance, yield monitors, weather stations, soil sensors, equipment telematics, market prices, and more. This data lives in silos, requiring farmers to check multiple applications and devices to get a complete picture. Critical decisions about when to plant, harvest, or apply inputs require synthesizing data from all these sources, which is time-consuming and error-prone. This dashboard unifies all data streams into one actionable interface.

Capabilities

Aggregate real-time data from equipment, weather, sensors, and operations
Display unified dashboard with key performance indicators (KPIs)
Provide actionable recommendations based on data synthesis
Generate field-specific reports and historical trends
Monitor equipment status and performance across fleet
Track weather forecasts and alerts with operational recommendations
Analyze historical data for patterns and optimization opportunities
Export data in multiple formats for further analysis
Support customizable dashboards and widgets
Provide mobile-friendly interface for field access
Generate automated reports for stakeholders
Monitor labor allocation and productivity
Track input usage and inventory levels
Analyze yield data and performance metrics
Provide alerts for anomalies and opportunities

Instructions

Usage by AI Agent

Configure Data Sources
- Set up equipment data connections (CAN bus, telematics APIs)
- Configure weather data sources (local stations, forecasts)
- Connect sensor data streams (soil moisture, weather stations)
- Import historical field data and records
- Set up market data feeds if applicable

Read the full file on GitHub · 336 lines

Files

What ships with it

10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 336 lines · 0 tokens per session scan A e8e123bd18b8

Subscribe to this mod's changes

data-synthesis-dashboard is a skill published in the GitHub repository farmfriend-labs/agent-skills-farming (3 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,259 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metrics

data-synthesis-dashboard next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
data-synthesis-dashboardfarmfriend-labs/agent-skills-farming	Skill	3	8mo ago	MIT	A	0	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code