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 lab-hardware-cadgit 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/lab-hardware-cad)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/lab-hardware-cad"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/lab-hardware-cad/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/lab-hardware-cad"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/lab-hardware-cad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
- Socket warn
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 | $0.00108 | $0.05518 |
| Opus 5.5 | $0.00043 | $0.02207 |
| Sonnet 5.5 | $0.00022 | $0.01104 |
| Haiku 4.5 | $0.00011 | $0.00552 |
Grade A, and why
lab-hardware-cad 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 14d 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:
- lab-hardware-cad — 97% identical, 62 lines differ
How it starts
The opening of the file, as written. The whole thing — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lab Hardware CAD
Design physical research hardware as parametric Python source, export STEP as the authoritative artifact, and verify the result both numerically and visually before anything is fabricated.
The hard part of lab hardware is almost never the geometry. It is that the part must mate with equipment whose dimensions are fixed by a published standard or a vendor drawing. A holder that is 0.5 mm too wide does not fit the plate reader; a channel with the wrong aspect ratio collapses during bonding; a mount whose bolt pattern is 25.4 mm instead of 25.0 mm will not reach the optical table. This skill exists to keep those numbers correct and checked.
When to use
Use for any request to design, model, or fabricate a physical part for a lab: chip, mold, mount, adapter, holder, rack, bracket, enclosure, jig, fixture, arena, or maze. Also use to inspect or modify an existing STEP file.
Do not use for finite-element analysis, computational fluid dynamics, molecular structure, or scientific plotting. Those are different skills.
Setup
uv venv --python 3.12 .venv-labcad
uv pip install --python .venv-labcad/bin/python "build123d==0.13.0" "matplotlib>=3.8"
build123d 0.13.0 requires Python >=3.11,<3.15 and pulls in the OpenCascade kernel through
cadquery-ocp-novtk. The wheel is large; install once per project and reuse it.
All bundled scripts take --help. check.py standards runs without build123d installed.
Model files are executed, not parsed. gen.py, check.py, and snapshot.py import a
*_model.py and call its build(), which runs arbitrary Python in the current environment. That
is inherent to parametric CAD — the source is the design. Only run model files authored in this
session or supplied by the user from a trusted location. If a model came from the internet, a
shared drive, or an untrusted colleague, read it before running it and say that you did.
Required workflow
Follow these steps in order. Steps 5 and 6 are not optional, and step 6 is not waived by step 5 passing.
What ships with it
12 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/standards.json 17 KB
- references/behavior-rigs.md 7.6 KB
- references/build123d-patterns.md 18 KB
- references/fabrication-limits.md 9.0 KB
- references/labware-adapters.md 11 KB
- references/microfluidics.md 9.5 KB
- references/optomechanics.md 7.2 KB
- references/validation.md 6.7 KB
- scripts/_common.py 27 KB runs code
- scripts/check.py 28 KB runs code
- scripts/gen.py 10 KB runs code
- scripts/snapshot.py 11 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.
- 14d ago Changed · +6 lines · +2 tokens per session d3e9c67c3f08
- 15d ago Changed · +2 lines 8160069712ed
- 1mo ago Changed · +17 lines 36b730f5dd09
- 1mo ago First seen · 373 lines · 106 tokens per session scan A b89d796cfc8e
lab-hardware-cad is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (50,453 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 5,518 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
discovery-toolbox
A routed repertoire of 90 scientific thinking operators for biological research agents - visual reasoning, detectability and information budgets, search reframing, causal identification, competing explanations, observation and selection processes, pipeline artifact diagnosis, effort allocation, and confirmation…
discovery-director
Operate as a research director making original discoveries from a given biological question and dataset. Use when the task is open-ended scientific research, exploring omics or experimental data for findings, hypothesis generation and testing, screening a large candidate space of genes, variants, features or…
18-ot-ics-security
Operational Technology and industrial control system security — Purdue model segmentation, industrial protocol analysis (Modbus, DNP3, S7, EtherNet/IP), PLC/HMI exposure, IEC 62443 alignment, and MITRE ATT&CK for ICS, for authorized and safety-conscious assessments.
bio-interdomain-hgt
Detect and polarize interdomain horizontal gene transfer with reciprocal hits, genomic context, and gene trees. Use for virus-host gene exchange, endogenous viral elements, or donor direction.
csag-extraction
Extract a Conditional Scientific Argumentation Graph and grounded Q&A from a manuscript. Use when representing assertions, contexts, evidence links, and inference steps in machine-readable form.
notebooks
Author, run and convert marimo or Jupyter notebooks. Use when delivering an analysis notebook executed end to end with figures embedded.