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.
/plugin marketplace add big-emotion/agent-ateliernpx agentmods add plugins/big-emotion/agent-atelier/pr-trainsgit clone --depth 1 https://github.com/big-emotion/agent-atelierWrote 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/big-emotion/agent-atelier/pr-trains)<a href="https://agentmods.dev/plugins/big-emotion/agent-atelier/pr-trains"><img src="https://agentmods.dev/badge/plugins/big-emotion/agent-atelier/pr-trains.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
pr-trains 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 4d 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": "pr-trains",
"displayName": "PR Trains",
"version": "0.2.0",
"description": "Batch operators for GitHub queues: review-train reviews every open PR, fix-train applies requested changes, fix-ci-train turns red CI green, merge-train fixes and merges in dependency order, issue-train triages and builds one PR per actionable issue — all with parallel sub-agents and one grouped confirmation.",
"author": {
"name": "Big Emotion"
},
"homepage": "https://github.com/big-emotion/agent-atelier",
"repository": "https://github.com/big-emotion/agent-atelier",
"license": "MIT",
"keywords": ["github", "pull-requests", "code-review", "ci", "automation"]
}
What it installs
The manifest is a name and a version. 5 skills travel with it, and installing the plugin installs all of them — 847 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.
- 4d ago First seen · 14 lines scan A d30ceb40b84b
pr-trains is a plugin published in the GitHub repository big-emotion/agent-atelier (2 stars, last pushed 1mo 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 2026-08-31.
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