Scientific Agent Skills is a collection of reusable procedures that give AI agents capabilities for scientific research across areas such as biology, chemistry, medicine, and drug discovery. It is used by researchers and by people building AI scientist workflows with compatible coding agents. The catalogue contains many of the project's skills and supporting instructions.
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.
npx skills add K-Dense-AI/scientific-agent-skills --skill matlabgit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-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/skills/k-dense-ai/scientific-agent-skills/matlab)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/matlab"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/matlab/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/skills/k-dense-ai/scientific-agent-skills/matlab"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/matlab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.03877 |
| Opus 5.5 | $0.00018 | $0.01551 |
| Sonnet 5.5 | $0.00009 | $0.00775 |
| Haiku 4.5 | $0.00004 | $0.00388 |
Grade A, and why
matlab 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 25d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- matlab — 100% identical, 39 lines differ
How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MATLAB and GNU Octave
Use this skill to design or review numerical code, migrate MATLAB releases, prepare reproducible projects, and plan trusted execution. MATLAB and GNU Octave are distinct products: compatibility is partial, not a license or behavior guarantee.
Review scope
Reviewed against current MathWorks R2026b documentation and GNU Octave 11.3.0 sources on 2026-10-01. The bundled Engine planner and MATLAB examples retain an explicit R2026a baseline. R2026b supports CPython 3.10-3.14; do not reuse the R2026a Engine package for it. MATLAB/Octave examples are illustrative and were not executed in this review; the Python helpers have local synthetic tests. This skill uses local runtime APIs, with no remote service endpoint or API key.
Product and license gate
- MATLAB R2026a is proprietary. Do not assume MATLAB, MATLAB Online, a named toolbox, MATLAB Test, MATLAB Compiler, MATLAB Coder, Parallel Computing Toolbox, or an add-on is installed, licensed, or available to the user.
- MATLAB Runtime is not MATLAB. It runs compatible applications produced with MATLAB Compiler; it cannot run arbitrary source or host MATLAB Engine for Python. Building artifacts needs the applicable licensed compiler and every product used by the source.
- GNU Octave 11.3.0 is free software under GPLv3+. Octave packages are not MATLAB toolboxes. Similar names do not imply API, numerical, graphics, or licensing equivalence.
- Ask which runtime, release, platform, installed products, and license context
the user actually has. Treat availability as
unknownuntil confirmed.
See Octave compatibility and execution/product boundaries.
Nonnegotiable safety boundary
Never run an untrusted .m, .mlx, MEX binary, MAT file, project startup or
shutdown action, package installer, or generated artifact. Static review does
not prove safety.
Treat these as execution or code-loading surfaces:
What ships with it
19 files beside SKILL.md 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.
- assets/project_manifest_template.json 723 B
- assets/python_compatibility_r2026a.json 786 B
- assets/reproducibility_manifest_template.json 787 B
- references/data-import-export.md 9.5 KB
- references/executing-scripts.md 10 KB
- references/graphics-visualization.md 7.3 KB
- references/mathematics.md 8.4 KB
- references/matrices-arrays.md 8.3 KB
- references/octave-compatibility.md 8.3 KB
- references/programming.md 11 KB
- references/python-integration.md 11 KB
- scripts/_common.py 8.6 KB runs code
- scripts/generate_function_scaffold.py 4.8 KB runs code
- scripts/inventory_mat_file.py 12 KB runs code
- scripts/plan_batch_command.py 9.6 KB runs code
- scripts/plan_python_compatibility.py 6.4 KB runs code
- scripts/reproducibility_report.py 7.8 KB runs code
- scripts/scan_m_code.py 14 KB runs code
- scripts/validate_project_manifest.py 12 KB runs code
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.
- 25d ago Changed · +14 lines · +2 tokens per session 91afa6ec0f0b
- 26d ago Changed · +5 lines f7b06d872610
- 1mo ago First seen · 292 lines · 42 tokens per session scan A 57f7287bb6d4
matlab is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (54,777 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 3,877 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
biopython
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…
geopandas-spatial
Geospatial and climate data analysis with geopandas and xarray. Use when: (1) geographic vector data analysis, (2) climate and weather NetCDF data, (3) spatial joins and overlay operations, (4) map visualization, (5) CRS transformations and area calculations. NOT for: satellite imagery ML (use rasterio/torchgeo)…
pymatgen-materials
Materials science computation with pymatgen. Use when: (1) crystal structure creation and manipulation, (2) phase diagram construction, (3) electronic structure analysis, (4) symmetry and space group operations, (5) VASP input/output parsing. NOT for: molecular chemistry (use rdkit-chemistry), protein structure (use…
rdkit-chemistry
Molecular chemistry operations via RDKit. Use when: user asks about molecular structures, SMILES, chemical properties, or fingerprints. NOT for: reaction databases or wet lab protocols.
nanoresearch-experiment
Generate a Python code skeleton from an experiment blueprint.
alterlab-anndata
Build, slice, concatenate, read, and write AnnData annotated data matrices (obs, var, X, layers, obsm, uns) — the scverse data STRUCTURE, not an analysis pipeline. Use when creating or wrangling .h5ad/zarr files, managing cell and gene annotations, concatenating batches, or handling layers/obsm/backed-mode; for the…