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agri-paper-template

agri-paper-template is a skill for Claude Code, Codex from Jeffisgod/Agri-CV-Research. It costs 0 tokens per session (483 once invoked), scanned A, original, MIT.

A LaTeX paper template tool for agricultural computer-vision research. It helps structure papers for conferences and journals such as CVPR, ECCV, Plant Phenomics, and Computers and Electronics in Agriculture.

In plain words
What is it for?
Use it to start papers, switch between supported publication templates, and fill sections such as the abstract with details about the task, method, dataset, and results.
Why use it?
It reduces the repeated work of changing paper formats and filling standard sections when turning experimental results into a research paper.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 3repo 5mo ago A scan 0 tokens original MIT

Good fit Use it to start papers, switch between supported publication templates, and fill sections such as the abstract with details about the task, method, dataset, and results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeffisgod/agri-cv-research/agri-paper-template
View source ↗ Jeffisgod/Agri-CV-Research
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 Jeffisgod/Agri-CV-Research --skill agri-paper-template
Clone the repo
git clone --depth 1 https://github.com/Jeffisgod/Agri-CV-Research

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 agri-paper-template

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeffisgod/agri-cv-research/agri-paper-template/github.svg)](https://agentmods.dev/skills/jeffisgod/agri-cv-research/agri-paper-template)
Your own site
<a href="https://agentmods.dev/skills/jeffisgod/agri-cv-research/agri-paper-template"><img src="https://agentmods.dev/badge/skills/jeffisgod/agri-cv-research/agri-paper-template/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 agri-paper-template

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeffisgod/agri-cv-research/agri-paper-template"><img src="https://agentmods.dev/badge/skills/jeffisgod/agri-cv-research/agri-paper-template.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 483 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00483
Opus 5.5 $0.00000 $0.00193
Sonnet 5.5 $0.00000 $0.00097
Haiku 4.5 $0.00000 $0.00048

Measured 2mo ago against content hash b8f7cf4144a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agri-paper-template 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.

skills/agri-paper-template/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agricultural CV Paper Template

Description

LaTeX template management and automatic filling for agricultural CV papers, supporting CVPR, ECCV, Plant Phenomics, Computers and Electronics in Agriculture, and other venues.

When to Use

  • Need to write a paper from experimental results
  • Need to switch between different paper templates
  • Need to auto-fill standard paper sections

Supported Templates

Template Type Use Case
CVPR/ICCV Top conference Method innovation in CV
ECCV Top conference Vision understanding, detection, segmentation
NeurIPS/ICML Top conference Theory/method learning research
Plant Phenomics Domain journal Plant phenotyping analysis
Computers and Electronics in Agriculture Domain journal Agricultural intelligence applications
Frontiers in Plant Science Domain journal Plant science interdisciplinary research
IEEE TGRS Remote sensing journal Remote sensing + agriculture

Paper Structure Template

Abstract (150-250 words)

Template variables: {task}, {challenge}, {method_name}, {key_innovation}, {dataset}, {main_result}, {improvement_over_baseline}

Introduction

  1. Importance and background of agricultural CV (2-3 sentences)
  2. Limitations of current methods (2-3 sentences)
  3. Motivation and contributions of this paper (3-4 sentences)
  4. Contribution list (3-4 bullet points)

Related Work

  • 2.1 Traditional methods in {task_name}
  • 2.2 Deep learning applications in {task_name}
  • 2.3 {key_technique} (related to core technology)

Method

  • 3.1 Problem definition and formalization
  • 3.2 Overall architecture (with figure)
  • 3.3 Core module details
  • 3.4 Training strategy and loss function

Experiments

  • 4.1 Dataset and implementation details
  • 4.2 Comparison with SOTA methods (main results table)
  • 4.3 Ablation studies (ablation table)
  • 4.4 Visualization analysis (Grad-CAM, detection results)
  • 4.5 Edge device deployment (optional)

Read the full file on GitHub · 55 lines

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. 2mo ago First seen · 55 lines · 0 tokens per session scan A b8f7cf4144a3

Subscribe to this mod's changes

agri-paper-template is a skill published in the GitHub repository Jeffisgod/Agri-CV-Research (3 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 483 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 2026-08-30.

ScientificWriting and docs
Related

agri-paper-template compared with skills from other repositories

agri-paper-template next to 6 skills from other repositories
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