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 jimmc414/Kosmosnpx agentmods add plugins/jimmc414/kosmos/scientific-skillsgit clone --depth 1 https://github.com/jimmc414/KosmosWrote 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/jimmc414/kosmos/scientific-skills)<a href="https://agentmods.dev/plugins/jimmc414/kosmos/scientific-skills"><img src="https://agentmods.dev/badge/plugins/jimmc414/kosmos/scientific-skills.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
scientific-skills 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What it installs
The manifest is a name and a version. 119 skills travel with it, and installing the plugin installs all of them — 7,207 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill geo-database A 47 tokens
- Skill gget A 79 tokens
- Skill clinpgx-database A 45 tokens
- Skill datamol A 67 tokens
- Skill deepchem A 45 tokens
- Skill deeptools A 51 tokens
- Skill gwas-database A 50 tokens
- Skill histolab A 91 tokens
- Skill hypogenic A 65 tokens
- Skill literature-review A 86 tokens
- Skill alphafold-database A 55 tokens
- Skill benchling-integration A 44 tokens
- Skill biopython A 76 tokens
- Skill cellxgene-census A 47 tokens
- Skill clinicaltrials-database A 47 tokens
- Skill clinvar-database A 45 tokens
- Skill dask A 39 tokens
- Skill diffdock A 40 tokens
- Skill exploratory-data-analysis A 89 tokens
- Skill fda-database A 43 tokens
- Skill flowio A 47 tokens
- Skill lamindb A 135 tokens
- Skill aeon A 74 tokens
- Skill anndata A 67 tokens
- Skill astropy A 84 tokens
- Skill biomni A 82 tokens
- Skill biorxiv-database A 52 tokens
- Skill bioservices A 72 tokens
- Skill chembl-database A 46 tokens
- Skill cobrapy A 38 tokens
- Skill cosmic-database A 39 tokens
- Skill dnanexus-integration A 49 tokens
- Skill esm A 86 tokens
- Skill geniml A 89 tokens
- Skill get-available-resources A 115 tokens
- Skill kegg-database A 60 tokens
- Skill latchbio-integration A 45 tokens
- Skill xlsx A 32 tokens
- Skill datacommons-client A 77 tokens
- Skill drugbank-database A 84 tokens
- Skill ensembl-database A 45 tokens
- Skill fluidsim A 69 tokens
- Skill gtars A 50 tokens
- Skill hmdb-database A 46 tokens
- Skill labarchive-integration A 41 tokens
- Skill arboreto A 66 tokens
- Skill denario A 69 tokens
- Skill ena-database A 43 tokens
- Skill gene-database A 49 tokens
- Skill hypothesis-generation A 33 tokens
- Skill markitdown A 101 tokens
- Skill pdf A 29 tokens
- Skill pptx B 30 tokens
- Skill etetoolkit B 46 tokens
- Skill docx B 29 tokens
- Skill matchms A 40 tokens
- Skill matplotlib A 43 tokens
- Skill medchem A 39 tokens
- Skill metabolomics-workbench-database A 53 tokens
- Skill modal A 46 tokens
- Skill molfeat A 47 tokens
- Skill networkx A 85 tokens
- Skill neurokit2 A 96 tokens
- Skill omero-integration A 39 tokens
- Skill openalex-database A 76 tokens
- Skill opentargets-database A 40 tokens
- Skill opentrons-integration A 49 tokens
- Skill paper-2-web A 78 tokens
- Skill pathml A 102 tokens
- Skill pdb-database A 49 tokens
- Skill peer-review A 35 tokens
- Skill perplexity-search A 99 tokens
- Skill polars A 40 tokens
- Skill protocolsio-integration B 85 tokens
- Skill pubchem-database A 49 tokens
- Skill pubmed-database A 58 tokens
- Skill pufferlib A 83 tokens
- Skill pydeseq2 A 45 tokens
- Skill pydicom A 110 tokens
- Skill pyhealth A 109 tokens
- Skill pylabrobot A 98 tokens
- Skill pymatgen A 38 tokens
- Skill pymc-bayesian-modeling A 48 tokens
- Skill pymoo A 46 tokens
- Skill pyopenms A 86 tokens
- Skill pysam A 47 tokens
- Skill pytdc A 41 tokens
- Skill pytorch-lightning A 65 tokens
- Skill rdkit A 80 tokens
- Skill reactome-database B 35 tokens
- Skill reportlab A 38 tokens
- Skill scanpy A 51 tokens
- Skill scholar-evaluation A 81 tokens
- Skill scientific-brainstorming A 35 tokens
- Skill scientific-critical-thinking A 40 tokens
- Skill scientific-visualization A 45 tokens
- Skill scientific-writing A 46 tokens
- Skill scikit-bio A 54 tokens
- Skill scikit-learn A 68 tokens
- Skill scikit-survival A 91 tokens
- Skill scvi-tools A 81 tokens
- Skill seaborn A 38 tokens
- Skill shap A 109 tokens
- Skill simpy A 56 tokens
- Skill stable-baselines3 A 87 tokens
- Skill statistical-analysis A 42 tokens
- Skill statsmodels A 41 tokens
- Skill string-database A 44 tokens
- Skill sympy A 98 tokens
- Skill tooluniverse A 112 tokens
- Skill torch-geometric A 41 tokens
- Skill torchdrug A 60 tokens
- Skill transformers A 63 tokens
- Skill umap-learn A 43 tokens
- Skill uniprot-database A 66 tokens
- Skill uspto-database A 40 tokens
- Skill vaex A 99 tokens
- Skill zarr-python A 42 tokens
- Skill zinc-database A 47 tokens
What ships with it
1 file beside marketplace.json#scientific-skills 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.
- yesterday First seen · 127 lines scan A fb5082302c1c
scientific-skills is a plugin published in the GitHub repository jimmc414/Kosmos (577 stars, last pushed 5mo ago), with no licence file. 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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