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.
npx agentmods add skills/squadcodercom/squadcoder/israeli-agritech-advisornpx skills add squadcodercom/squadcoder --skill israeli-agritech-advisorgit clone --depth 1 https://github.com/squadcodercom/squadcoderWrote 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.
[](https://agentmods.dev/skills/squadcodercom/squadcoder/israeli-agritech-advisor)<a href="https://agentmods.dev/skills/squadcodercom/squadcoder/israeli-agritech-advisor"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/israeli-agritech-advisor.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00203 | $0.03244 |
| Opus 5 | $0.00102 | $0.01622 |
| Sonnet 5 | $0.00041 | $0.00649 |
| Haiku 4.5 | $0.00020 | $0.00324 |
Grade A, and why
israeli-agritech-advisor scanned grade A with 1 finding 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 3d ago.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Bash(python:*) Bash(pip:*) Bash(curl:*) How it starts
The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Israeli Agritech Advisor
Instructions
Step 1: Identify the Agritech Use Case
| Use Case | Key Platforms | Data Types | Goal |
|---|---|---|---|
| Irrigation optimization | CropX, Netafim, Manna | Soil moisture, weather, ET0 | Reduce water use 20-40% |
| Pest/disease detection | Taranis, AgroScout | Aerial imagery, NDVI | Early detection, targeted treatment |
| Greenhouse monitoring | Prospera/Valmont | Climate, imagery | Optimal growing conditions |
| Pollination management | BeeHero | Hive sensors, GPS | Maximize pollination efficiency |
| Farm data platform | Multiple | All sensor data | Unified decision dashboard |
| Water compliance | Mekorot data, sensors | Water flow, quotas | Meet Water Authority regulations |
Step 2: Connect to Agritech APIs
CropX -- Soil Monitoring Integration:
import requests
class CropXClient:
"""Client for CropX soil monitoring API."""
BASE_URL = "https://api.cropx.com/v2"
def __init__(self, client_id, client_secret):
self.token = self._authenticate(client_id, client_secret)
self.headers = {"Authorization": f"Bearer {self.token}"}
def _authenticate(self, client_id, client_secret):
response = requests.post(f"{self.BASE_URL}/auth/token", json={
"client_id": client_id,
"client_secret": client_secret,
"grant_type": "client_credentials"
})
return response.json()["access_token"]
def get_sites(self):
"""List all monitored field sites."""
return requests.get(f"{self.BASE_URL}/sites", headers=self.headers).json()
def get_soil_readings(self, device_id, start_date, end_date):
"""Get soil sensor readings for a device."""
return requests.get(
f"{self.BASE_URL}/devices/{device_id}/measurements",
headers=self.headers,
params={"from": start_date.isoformat(), "to": end_date.isoformat(),
"metrics": "moisture,temperature,ec"}
).json()
def get_irrigation_recommendation(self, site_id):
"""Get AI-driven irrigation recommendation for a site."""
return requests.get(
f"{self.BASE_URL}/sites/{site_id}/recommendations",
headers=self.headers
).json()
What ships with it
4 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.
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.
- 3d ago First seen · 256 lines · 203 tokens per session scan A 69636432ccac
israeli-agritech-advisor is a skill published in the GitHub repository squadcodercom/squadcoder (11 stars, last pushed 2mo ago), licensed MIT. It adds 203 tokens to every session and 3,244 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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