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/monte-carlo-data/mc-agent-toolkitWrote 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/monte-carlo-data/mc-agent-toolkit/cursor)<a href="https://agentmods.dev/plugins/monte-carlo-data/mc-agent-toolkit/cursor"><img src="https://agentmods.dev/badge/plugins/monte-carlo-data/mc-agent-toolkit/cursor/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/monte-carlo-data/mc-agent-toolkit/cursor"><img src="https://agentmods.dev/badge/plugins/monte-carlo-data/mc-agent-toolkit/cursor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
mc-agent-toolkit 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 today.
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": "mc-agent-toolkit",
"version": "1.24.2",
"description": "Monte Carlo Agent Toolkit — data observability skills and enforcement hooks for AI coding agents.",
"author": {
"name": "Monte Carlo",
"url": "https://www.montecarlodata.com"
},
"repository": "https://github.com/monte-carlo-data/mc-agent-toolkit",
"license": "Apache-2.0",
"keywords": [
"monte-carlo",
"data-observability",
"agent-toolkit",
"prevent",
"dbt",
"schema"
],
"hooks": "./hooks/prevent/hooks.json"
}
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.
- today First seen · 21 lines scan A a657b1277856
mc-agent-toolkit is a plugin published in the GitHub repository monte-carlo-data/mc-agent-toolkit (91 stars, last pushed today), licensed Apache-2.0. 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 2026-09-08.
Other plugins, from other repositories
before-you-build
Pre-build product risk review for founders, product teams, and AI-assisted builders before implementation starts.
kage
Kage manages your memory and agents. It briefs and runs agents in isolated git worktrees for a single run or a multi-wave goal, re-runs the checks itself instead of trusting the agent's report, and remembers what it learns so each brief is smarter than the last.
collate
A plugin that provides an end-to-end workflow for OCR and proofreading historical Chinese documents. OCR turns scanned page images into editable text.
mosaic-bridge
Mosaic Bridge — Unity MCP assistant agents for scene building, shader creation, and session continuity.
humanizer
Rewrite AI-sounding text so it reads naturally without changing what it says.
nextjs
Official Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.