A Python framework for controlling laboratory robots and equipment from different vendors through one interface. It supports devices such as liquid handlers, plate readers, pumps, incubators, centrifuges, and heater-shakers, and can simulate protocols before physical execution.

Use it to automate pipetting and sample preparation, manage lab layouts, integrate multiple instruments, create reproducible protocols, and test workflows in simulation.

It reduces the need to write separate control code for each manufacturer's equipment. It also helps coordinate multi-device workflows and laboratory resources such as plates, tips, and containers.

pylabrobot — Skill by synthetic-sciences

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.

agentmods

npx agentmods add skills/synthetic-sciences/openscience/pylabrobot

Any agent

npx skills add synthetic-sciences/openscience --skill pylabrobot

Clone the repo

git clone --depth 1 https://github.com/synthetic-sciences/openscience

Made for: Claude Code, Codex.

Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,827 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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	$0.00073	$0.01827
Opus 5	$0.00036	$0.00914
Sonnet 5	$0.00015	$0.00365
Haiku 4.5	$0.00007	$0.00183

Measured 3d ago against content hash 4f569c3cf8d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

pylabrobot — 97% identical, 6 lines differ

backend/cli/skills/biology/pylabrobot/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PyLabRobot

Overview

PyLabRobot is a hardware-agnostic, pure Python Software Development Kit for automated and autonomous laboratories. Use this skill to control liquid handling robots, plate readers, pumps, heater shakers, incubators, centrifuges, and other laboratory automation equipment through a unified Python interface that works across platforms (Windows, macOS, Linux).

When to Use This Skill

Use this skill when:

Programming liquid handling robots (Hamilton STAR/STARlet, Opentrons OT-2, Tecan EVO)
Automating laboratory workflows involving pipetting, sample preparation, or analytical measurements
Managing deck layouts and laboratory resources (plates, tips, containers, troughs)
Integrating multiple lab devices (liquid handlers, plate readers, heater shakers, pumps)
Creating reproducible laboratory protocols with state management
Simulating protocols before running on physical hardware
Reading plates using BMG CLARIOstar or other supported plate readers
Controlling temperature, shaking, centrifugation, or other material handling operations
Working with laboratory automation in Python

Core Capabilities

PyLabRobot provides comprehensive laboratory automation through six main capability areas, each detailed in the references/ directory:

1. Liquid Handling (`references/liquid-handling.md`)

Control liquid handling robots for aspirating, dispensing, and transferring liquids. Key operations include:

Basic Operations: Aspirate, dispense, transfer liquids between wells
Tip Management: Pick up, drop, and track pipette tips automatically
Advanced Techniques: Multi-channel pipetting, serial dilutions, plate replication
Volume Tracking: Automatic tracking of liquid volumes in wells
Hardware Support: Hamilton STAR/STARlet, Opentrons OT-2, Tecan EVO, and others

2. Resource Management (`references/resources.md`)

Manage laboratory resources in a hierarchical system:

Resource Types: Plates, tip racks, troughs, tubes, carriers, and custom labware
Deck Layout: Assign resources to deck positions with coordinate systems
State Management: Track tip presence, liquid volumes, and resource states
Serialization: Save and load deck layouts and states from JSON files
Resource Discovery: Access wells, tips, and containers through intuitive APIs

Read the full file on GitHub · 185 lines

Files

What ships with it

6 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.

3d ago First seen · 185 lines · 73 tokens per session scan A 4f569c3cf8d6

Subscribe to this mod's changes

pylabrobot is a skill published in the GitHub repository synthetic-sciences/openscience (3,385 stars, last pushed yesterday), licensed Apache-2.0. It adds 73 tokens to every session and 1,827 once invoked, about $0.0004 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 2026-08-30.

Hardware and IoT LLM Scientific agent ai biology bun cli ml

rosclaw-simforge

Safely install, validate, diagnose, and optimize ROSClaw simulation workflows across MuJoCo/MJWarp, ROS 2 rosbridge, turtlesim, Gazebo, Isaac Sim, Isaac Lab multi-GPU training, MCP, and the signed ROSClaw Hub. Use for evidence-backed physical-AI smoke tests, 4-GPU validation, simulator integration, Hub upload/download…

ros-claw/rosclaw · 97 tokens

satellite-communication-engineer

Expert-level Satellite Communication Engineer specializing in link budget analysis (EIRP, G/T, Eb/N0), LEO/MEO/GEO constellation design, DVB-S2X/DVB-RCS2 waveform engineering, ground station design, RF interference analysis, ITU coordination, FCC/OFCOM. Use when: working with...

theneoai/awesome-skills · 73 tokens

avionics-engineer

Avionics engineer specializing in flight control systems, navigation, communication systems, and integrated modular avionics for modern aircraft platforms.

theneoai/awesome-skills · 0 tokens

mission-control-operator

Space mission control operator specializing in flight monitoring, telemetry analysis, procedure execution, and emergency response for spacecraft operations.

theneoai/awesome-skills · 27 tokens

structural-engineer

Aerospace structural engineer specializing in strength analysis, fatigue life prediction, damage tolerance, and composite material design.