crop-yield

crop-yield is a skill for Claude Code, Codex from tinh2/skills-hub-registry. It costs 41 tokens per session (2,397 once invoked), scanned A, original, no licence file.

A review of farming software that predicts crop yields and supports field decisions. It examines how the software uses soil, irrigation, weather, satellite, drone, pest, and disease data.

In plain words
What is it for?
Use it to assess yield models, soil and weather integrations, irrigation recommendations, pest and disease detection, imagery processing, vegetation indexes, and harvest timing.
Why use it?
It helps reveal unreliable predictions or weak connections between field data and decisions about growing and harvesting crops.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to assess yield models, soil and weather integrations, irrigation recommendations, pest and disease detection, imagery processing, vegetation indexes, and harvest timing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tinh2/skills-hub-registry/crop-yield
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 tinh2/skills-hub-registry --skill crop-yield
Clone the repo
git clone --depth 1 https://github.com/tinh2/skills-hub-registry

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.

agentmods badge for crop-yield

README.md
[![agentmods](https://agentmods.dev/badge/skills/tinh2/skills-hub-registry/crop-yield/github.svg)](https://agentmods.dev/skills/tinh2/skills-hub-registry/crop-yield)
Your own site
<a href="https://agentmods.dev/skills/tinh2/skills-hub-registry/crop-yield"><img src="https://agentmods.dev/badge/skills/tinh2/skills-hub-registry/crop-yield/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.

agentmods 80×15 button for crop-yield

Your own site · 80×15
<a href="https://agentmods.dev/skills/tinh2/skills-hub-registry/crop-yield"><img src="https://agentmods.dev/badge/skills/tinh2/skills-hub-registry/crop-yield.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,397 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 unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.02397
Opus 5.5 $0.00016 $0.00959
Sonnet 5.5 $0.00008 $0.00479
Haiku 4.5 $0.00004 $0.00240

Measured 1mo ago against content hash 35ed83640c82, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

crop-yield 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 1mo 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.

analysis/crop-yield/SKILL.md · 196 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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.

  1. 1mo ago Changed · -85 tokens per session 35ed83640c82
  2. 1mo ago First seen · 196 lines · 126 tokens per session scan A 75e5b8e13379

Subscribe to this mod's changes

crop-yield is a skill published in the GitHub repository tinh2/skills-hub-registry (22 stars, last pushed 1mo ago), with no licence file. It adds 41 tokens to every session and 2,397 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

neuropixels-analysis

Analyzes Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when…

K-Dense-AI/scientific-agent-skills · 99 tokens

onekgpd

Queries the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which…

K-Dense-AI/scientific-agent-skills · 143 tokens

pydicom

Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.

K-Dense-AI/scientific-agent-skills · 52 tokens

biopython

Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom molecular-biology pipelines, BLAST automation, structure analysis, and motif analysis.

K-Dense-AI/scientific-agent-skills · 65 tokens

clinical-decision-support

Prepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Supports aggregate or synthetic research documentation and traceability, excluding patient care and live clinical operation.

K-Dense-AI/scientific-agent-skills · 51 tokens

depmap

Retrieves and analyzes Cancer Dependency Map (DepMap) release data, including CRISPR Chronos gene effects, cancer model annotations, omics biomarkers, and PRISM drug sensitivity. Supports cancer-selective dependency, co-essentiality, and candidate synthetic-lethality analyses with release-aware identifiers and…

K-Dense-AI/scientific-agent-skills · 65 tokens