A Python toolkit for planning and reviewing laboratory-automation procedures with different liquid-handling devices. It also provides software-only simulation and bookkeeping tools.

Use it to write liquid-handling plans, validate resource layouts, track lab materials, simulate runs offline, and connect supported devices after an operator approves execution.

It lets you develop and check lab protocols without tying the code to one brand of equipment or immediately operating physical hardware.

pylabrobot — Skill for Claude Code by K-Dense-AI

About the project

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.

K-Dense-AI/scientific-agent-skills · 44,220 stars · on GitHub · arxiv.org

Install

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.

Any agent

npx skills add K-Dense-AI/scientific-agent-skills --skill pylabrobot

Clone the repo

git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/pylabrobot/github.svg)](https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/pylabrobot)

Your own site

<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/pylabrobot"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/pylabrobot/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/pylabrobot"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/pylabrobot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,686 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

Socket pass 9 Apr 2026
Snyk pass 9 Apr 2026
NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00049	$0.02686
Opus 5	$0.00024	$0.01343
Sonnet 5	$0.00010	$0.00537
Haiku 4.5	$0.00005	$0.00269

Measured 8d ago against content hash 568f253b44fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pylabrobot 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.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/__init__.py, scripts/_common.py, scripts/check_deck_geometry.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/pylabrobot/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PyLabRobot

Use PyLabRobot's hardware-agnostic frontends, resource tree, trackers, and device-specific backends to develop laboratory automation. Default to local manifest validation, bookkeeping, and the software-only chatterbox backend.

Verified snapshot

PyPI stable: PyLabRobot==0.2.1, released 2026-03-23.
Upstream requirement: Python >=3.9. This skill uses Python 3.11 for its reproducible smoke tests.
/stable/ documentation identifies itself as 0.2.1. /dev/ and repository main describe unreleased work and must not be assumed available in 0.2.1.
Stable liquid-handler backends include STARBackend, VantageBackend, EVOBackend, OpentronsOT2Backend, and the offline LiquidHandlerChatterboxBackend.
PyLabRobot's GitHub Releases page has no 0.2.x software release entry; use the PyPI history, v0.2.1 tag, and changelog as release evidence.

Non-negotiable hardware boundary

Never connect to, initialize, home, move, heat, shake, spin, pump, open/close, or otherwise command physical equipment automatically. Do not turn a simulation plan into a live backend merely by changing an environment variable, config value, or import.

Before any separately authorized live run, require a trained human to:

Explicitly confirm the exact backend, device identity, firmware, transport, deck, and protocol revision.
Reconcile the physical deck against the resource tree, including carriers, adapters, lids, plates, tip racks, waste, labware orientation, barcodes, and every occupied coordinate.
Verify calibration, teaching, motion envelopes, collision risks, gripper or channel clearances, and all aspiration/dispense coordinates.
Review source identity and actual fill volume, dead volume, destination capacity, tip type/capacity/filter compatibility, channel mapping, units, heights, rates, liquid class, blowout/mixing, and contamination boundaries.
Confirm guards, doors, waste capacity, containment, emergency stop readiness, PPE, biosafety/chemical controls, and a safe abort/recovery procedure.
Approve a slow dry run or nonhazardous commissioning run when anything is new or changed.

Read the full file on GitHub · 234 lines

Files

What ships with it

14 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.

Changes

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 · 234 lines · 49 tokens per session scan A 568f253b44fe

Subscribe to this mod's changes

pylabrobot 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 49 tokens to every session and 2,686 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.

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