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 Jeffisgod/Agri-CV-Research --skill agri-paper-templategit clone --depth 1 https://github.com/Jeffisgod/Agri-CV-ResearchWrote 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/jeffisgod/agri-cv-research/agri-paper-template)<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.
<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>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 | $0.00483 |
| Opus 5 | $0.00000 | $0.00242 |
| Sonnet 5 | $0.00000 | $0.00097 |
| Haiku 4.5 | $0.00000 | $0.00048 |
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 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.
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 — 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
- Importance and background of agricultural CV (2-3 sentences)
- Limitations of current methods (2-3 sentences)
- Motivation and contributions of this paper (3-4 sentences)
- 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)
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 · 55 lines · 0 tokens per session scan A b8f7cf4144a3
agri-paper-template is a skill published in the GitHub repository Jeffisgod/Agri-CV-Research (23 stars, last pushed 3mo 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.
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