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/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/alterlab-ieu/alterlab-academic-skills/alterlab-data-science)<a href="https://agentmods.dev/plugins/alterlab-ieu/alterlab-academic-skills/alterlab-data-science"><img src="https://agentmods.dev/badge/plugins/alterlab-ieu/alterlab-academic-skills/alterlab-data-science.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
alterlab-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 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": "alterlab-data-science",
"source": "./skills/data-science",
"description": "Machine learning and statistics (scikit-learn, PyTorch, transformers, SHAP) (22 skills)",
"version": "2.6.1",
"author": {
"name": "AlterLab @ Izmir University of Economics",
"url": "https://github.com/AlterLab-IEU"
},
"homepage": "https://github.com/AlterLab-IEU/AlterLab-Academic-Skills",
"license": "MIT",
"category": "data",
"keywords": [
"machine-learning",
"statistics",
"pytorch",
"scikit-learn",
"transformers"
],
"strict": false,
"skills": [
"./alterlab-dask",
"./alterlab-eda",
"./alterlab-networkx",
"./alterlab-polars",
"./alterlab-pufferlib",
"./alterlab-pymc",
"./alterlab-pymoo",
"./alterlab-pytorch-lightning",
"./alterlab-scikit-learn",
"./alterlab-scikit-survival",
"./alterlab-shap",
"./alterlab-simpy",
"./alterlab-stable-baselines3",
"./alterlab-statistical-analysis",
"./alterlab-statsmodels",
"./alterlab-sympy",
"./alterlab-timesfm",
"./alterlab-torch-geometric",
"./alterlab-transformers",
"./alterlab-umap",
"./alterlab-vaex",
"./alterlab-zarr"
]
}What it installs
The manifest is a name and a version. 22 skills travel with it, and installing the plugin installs all of them — 2,147 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill alterlab-pufferlib A 127 tokens
- Skill alterlab-shap A 115 tokens
- Skill alterlab-timesfm A 78 tokens
- Skill alterlab-eda A 258 tokens
- Skill alterlab-scikit-learn A 79 tokens
- Skill alterlab-sympy A 86 tokens
- Skill alterlab-pymc A 86 tokens
- Skill alterlab-statistical-analysis A 74 tokens
- Skill alterlab-vaex A 103 tokens
- Skill alterlab-pymoo A 83 tokens
- Skill alterlab-torch-geometric A 75 tokens
- Skill alterlab-zarr A 76 tokens
- Skill alterlab-statsmodels A 81 tokens
- Skill alterlab-pytorch-lightning A 103 tokens
- Skill alterlab-polars A 86 tokens
- Skill alterlab-networkx A 132 tokens
- Skill alterlab-simpy A 66 tokens
- Skill alterlab-stable-baselines3 A 109 tokens
- Skill alterlab-dask A 99 tokens
- Skill alterlab-umap A 77 tokens
- Skill alterlab-scikit-survival A 84 tokens
- Skill alterlab-transformers A 70 tokens
What ships with it
1 file beside marketplace.json#alterlab-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.
- 4d ago First seen · 45 lines scan A d8b84d7129e1
alterlab-data-science is a plugin published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (64 stars, last pushed 2d 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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