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/PolicyEngine/policyengine-claudeWrote 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/policyengine/policyengine-claude/data-science)<a href="https://agentmods.dev/plugins/policyengine/policyengine-claude/data-science"><img src="https://agentmods.dev/badge/plugins/policyengine/policyengine-claude/data-science/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/policyengine/policyengine-claude/data-science"><img src="https://agentmods.dev/badge/plugins/policyengine/policyengine-claude/data-science.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
data-science 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 6d 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": "data-science",
"description": "Data analysis, survey enhancement, imputation, calibration, and microdata utilities",
"category": "data",
"version": "4.0.1",
"keywords": [
"data",
"microdata",
"survey",
"imputation",
"calibration",
"inequality",
"poverty",
"ml"
],
"author": {
"name": "PolicyEngine",
"url": "https://github.com/PolicyEngine"
},
"license": "MIT",
"skills": [
"./skills/policyengine",
"./skills/policyengine-data",
"./skills/policyengine-us",
"./skills/policyengine-uk",
"./skills/policyengine-healthcare",
"./skills/policyengine-design",
"./skills/policyengine-standards",
"./skills/policyengine-writing"
],
"commands": [],
"agents": [],
"source": "./"
}What it installs
The manifest is a name and a version. 8 skills travel with it, and installing the plugin installs all of them — 1,628 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill policyengine-writing A 147 tokens
- Skill policyengine A 185 tokens
- Skill policyengine-data A 253 tokens
- Skill policyengine-us A 251 tokens
- Skill policyengine-standards A 144 tokens
- Skill policyengine-uk A 241 tokens
- Skill policyengine-design A 161 tokens
- Skill policyengine-healthcare A 246 tokens
What ships with it
1 file beside marketplace.json#data-science in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 34 lines scan A d8b72965c0de
data-science is a plugin published in the GitHub repository PolicyEngine/policyengine-claude (32 stars, last pushed 3d 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 2026-09-03.
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