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 | $0.00042 | $0.03571 |
| Opus 5 | $0.00021 | $0.01785 |
| Sonnet 5 | $0.00008 | $0.00714 |
| Haiku 4.5 | $0.00004 | $0.00357 |
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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 292 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.
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:
eval,evalin,assignin, text-derivedfeval,str2func, callbacks, timers, app callbacks, and dynamically modified paths;system,unix,dos, shell escape!, Java, .NET, Python (py.*,pyrun,pyrunfile), MEX, and native libraries;mex,codegen, MATLAB Compiler, build tasks, package/project startup, and generated code;load, object deserialization (loadobj, custom serialization), function handles, Java/System objects, and class code reachable from MAT files.
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 8.6 KB
- references/executing-scripts.md 9.6 KB
- references/graphics-visualization.md 7.2 KB
- references/mathematics.md 8.1 KB
- references/matrices-arrays.md 7.9 KB
- references/octave-compatibility.md 8.3 KB
- references/programming.md 10 KB
- references/python-integration.md 9.7 KB
- scripts/_common.py 8.5 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 8.8 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.
- 8d 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 (44,220 stars, last pushed 4d ago), licensed MIT. It adds 42 tokens to every session and 3,571 once invoked, about $0.0002 per session on Opus 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…
gh-address-comments
Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.
nanoresearch-experiment
Generate a Python code skeleton from an experiment blueprint.
python-to-dafny-translator
Translate Python programs into equivalent Dafny code, preserving program semantics and ensuring the generated code is well-typed, executable, and verifiable. Use when the user asks to convert Python code to Dafny, port Python programs to Dafny, add formal verification to Python code, or create Dafny versions of Python…
python-to-lean4-translator
Translate Python programs to equivalent Lean4 code while preserving semantics and ensuring type safety. Use when users ask to convert, translate, or port Python code to Lean4, or when they need to verify Python algorithms using Lean4's theorem proving capabilities. Handles functions, classes, data structures, control…
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…