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 skills add QWarranto/leafengines-claude-mcp --skill leafengines-claude-skillgit clone --depth 1 https://github.com/QWarranto/leafengines-claude-mcpWrote 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/qwarranto/leafengines-claude-mcp/leafengines-claude-skill)<a href="https://agentmods.dev/skills/qwarranto/leafengines-claude-mcp/leafengines-claude-skill"><img src="https://agentmods.dev/badge/skills/qwarranto/leafengines-claude-mcp/leafengines-claude-skill/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.
<a href="https://agentmods.dev/skills/qwarranto/leafengines-claude-mcp/leafengines-claude-skill"><img src="https://agentmods.dev/badge/skills/qwarranto/leafengines-claude-mcp/leafengines-claude-skill.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00096 | $0.02255 |
| Opus 5.5 | $0.00038 | $0.00902 |
| Sonnet 5.5 | $0.00019 | $0.00451 |
| Haiku 4.5 | $0.00010 | $0.00226 |
Grade A, and why
agricultural-intelligence 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.
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.
How it starts
The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚡ Get Started Now
Free tier — no signup, no credit card:
- Test key:
leaf-test-370df0a2e62e(works immediately) - Free header:
x-free-tier: true(no key needed)
Ready for production?
Partner Program: Stop building for free. Use our API to sell $100–200 soil reports to local farmers, drone pilots, and GIS communities. You buy each report for $25. Join our Partner Program →
Preliminary Site Scan - SoilCertify Quick geotechnical overview with essential soil data and basic risk indicators. https://buy.stripe.com/fZu00j44C0Jp4Nc3syaMU0f
Agricultural Intelligence
Overview
This skill enables Claude to provide comprehensive agricultural intelligence including soil analysis, crop recommendations, profitability calculations, and sensor validation. It's designed for farmers, agricultural professionals, researchers, and anyone working with agricultural data.
Keywords: agriculture, farming, soil analysis, crop recommendations, farm profitability, sensor calibration, agricultural optimization, soil tests, crop yields, planting schedules, fertilizer calculations
Quick Reference
When to Use This Skill
Use this skill whenever users mention:
- Soil data or soil test results
- Crop selection or what to plant
- Farm profitability or ROI calculations
- Planting schedules or timing
- Sensor readings or calibration
- Agricultural optimization or improvements
Core Capabilities
- Soil Analysis - Interpret soil test data, provide recommendations
- Crop Recommendations - Suggest optimal crops based on conditions
- Profitability Analysis - Calculate margins, costs, ROI
- Sensor Validation - Detect drift, recommend calibration
- Planting Guidance - Provide schedules, density recommendations
Detailed Instructions
For complete agricultural intelligence, follow these steps:
What ships with it
1 file 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.
- 2mo ago First seen · 250 lines · 96 tokens per session scan A 6bd9af9fcd6e
agricultural-intelligence is a skill published in the GitHub repository QWarranto/leafengines-claude-mcp (5 stars, last pushed 3mo ago), licensed MIT. It adds 96 tokens to every session and 2,255 once invoked, about $0.0004 per session on Opus 5.5. 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.
agricultural-intelligence compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agricultural-intelligenceQWarranto/leafengines-claude-mcp | Skill | 5 | 3mo ago | MIT | A | 96 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |