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.
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agentsWrote 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/plugins/k-dense-ai/scientific-agents/agronomist)<a href="https://agentmods.dev/plugins/k-dense-ai/scientific-agents/agronomist"><img src="https://agentmods.dev/badge/plugins/k-dense-ai/scientific-agents/agronomist/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/plugins/k-dense-ai/scientific-agents/agronomist"><img src="https://agentmods.dev/badge/plugins/k-dense-ai/scientific-agents/agronomist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
agronomist 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.
What it actually says
{
"name": "agronomist",
"version": "1.0.0",
"description": "Reasons from 4R stewardship and G×E×M through MRTN economic N, calibrated soil-test extractants, penetrometer compaction diagnosis, on-farm strip mixed models, partial budgets, and AgroEcoList reporting while treating pseudo-replication, yield-monitor drift, and yield-goal N over-application as first-class failure modes.",
"author": {
"name": "K-Dense-AI",
"url": "https://github.com/K-Dense-AI"
},
"homepage": "https://github.com/K-Dense-AI/scientific-agents",
"keywords": [
"science",
"agents-md",
"expert-profile",
"agronomist"
]
}
What it installs
The manifest is a name and a version. 1 skill, 1 agent travel with it, and installing the plugin installs all of them — 173 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 1mo ago First seen · 17 lines scan A a51038afda0e
agronomist is a plugin published in the GitHub repository K-Dense-AI/scientific-agents (225 stars, last pushed 22d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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