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 farmfriend-labs/agent-skills-farming --skill plant-whisperer-assistantgit clone --depth 1 https://github.com/farmfriend-labs/agent-skills-farmingWrote 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/farmfriend-labs/agent-skills-farming/plant-whisperer-assistant)<a href="https://agentmods.dev/skills/farmfriend-labs/agent-skills-farming/plant-whisperer-assistant"><img src="https://agentmods.dev/badge/skills/farmfriend-labs/agent-skills-farming/plant-whisperer-assistant/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/farmfriend-labs/agent-skills-farming/plant-whisperer-assistant"><img src="https://agentmods.dev/badge/skills/farmfriend-labs/agent-skills-farming/plant-whisperer-assistant.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 | $0.00000 | $0.08128 |
| Opus 5 | $0.00000 | $0.04064 |
| Sonnet 5 | $0.00000 | $0.01626 |
| Haiku 4.5 | $0.00000 | $0.00813 |
Grade A, and why
plant-whisperer-assistant 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 12d 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.
- **Appearance:** Dark caterpillars, curl when disturbed How it starts
The opening of the file, as written. The whole thing — 1,032 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plant Whisperer Assistant
AI-powered plant health monitoring, diagnosis, and personalized care recommendations for home gardens and small farms.
Purpose
Empower gardeners and small-scale farmers with expert-level plant knowledge that would normally require decades of horticultural experience. Detect plant stress, diseases, and nutrient deficiencies before they become visible to the naked eye. Receive personalized care recommendations based on your specific plants, growing conditions, and climate zone.
Problem Solved
Most plant problems are discovered too late—when leaves are yellowing, plants are wilting, or diseases have already spread. Traditional methods rely on reactive observation after damage has occurred. Gardeners without extensive horticultural knowledge struggle with:
- Identifying subtle early warning signs of plant stress
- Differentiating between similar-looking symptoms (nutrient deficiency vs disease vs environmental stress)
- Knowing the right intervention at the right time
- Understanding how environmental factors interact with plant health
- Tracking plant health over time to prevent recurring issues
Plant Whisperer Assistant uses computer vision, pattern recognition, and expert horticultural knowledge bases to proactively identify issues and recommend precise interventions.
Capabilities
Visual Analysis
- Leaf color analysis (chlorosis, necrosis, purpling, bronzing)
- Leaf spot identification (size, shape, color, borders)
- Growth pattern analysis (stunting, etiolation, abnormal growth)
- Stem and branch health assessment
- Root system analysis (when visible)
- Flower and fruit development tracking
- Pest damage pattern recognition
Environmental Monitoring
- Soil moisture recommendations
- Temperature stress detection
- Light requirement matching
- Humidity impact assessment
- Air circulation issues
- Seasonal timing recommendations
Nutrient Management
- Nitrogen deficiency/excess identification
- Phosphorus deficiency symptoms
- Potassium imbalance detection
- Micronutrient deficiency diagnosis (iron, magnesium, calcium, etc.)
- Fertilizer timing recommendations
- Soil amendment suggestions
What ships with it
14 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.
- .env.example 3.7 KB
- examples/example-1.md 0 B
- examples/nutrient-deficiency-identification.md 12 KB
- examples/tomato-disease-diagnosis.md 8.3 KB
- references/research-papers.md 0 B
- resources/config-template.json 0 B
- scripts/analyze_plant.py 20 KB runs code
- scripts/init_database.py 16 KB runs code
- scripts/main.py 634 B runs code
- scripts/monitor.py 9.9 KB runs code
- scripts/run.sh 2.6 KB runs code
- scripts/setup.sh 6.2 KB runs code
- scripts/test.sh 8.7 KB runs code
- tools.json 8.0 KB
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.
- 12d ago First seen · 1,032 lines · 0 tokens per session scan A efe1ed3f98c7
plant-whisperer-assistant is a skill published in the GitHub repository farmfriend-labs/agent-skills-farming (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 8,128 tokens. 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 2026-08-31.
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