Source profileQuality 87/100Review permissions

K-Dense-AI/scientific-agent-skills/skills/pylabrobot/SKILL.md

pylabrobot

Develop and review PyLabRobot lab-automation resources, liquid-handling plans, offline simulations, and supported-device integrations. Use for PyLabRobot protocols or API questions; keep physical execution behind an explicit operator safety gate.

Source repository stars
31,966
Declared platforms
0
Static risk flags
1
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

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.

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill "skills/pylabrobot"
    Safe inspection promptEditorial

    Inspect the Agent Skill "pylabrobot" from https://github.com/K-Dense-AI/scientific-agent-skills/blob/e7ac42510774624f327003c95b6650e2883bc01d/skills/pylabrobot/SKILL.md at commit e7ac42510774624f327003c95b6650e2883bc01d. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      Offline-first workflow

      Run from the repository root. Every bundled CLI uses strict, bounded UTF-8 JSON/CSV, local non-symlink paths, fixed allowlists, and JSON output. None can select a live backend.

      Run from the repository root. Every bundled CLI uses strict, bounded UTF-8 JSON/CSV, local non-symlink paths, fixed allowlists, and JSON output. None can select a live backend.The geometry checker uses conservative static axis-aligned boxes; it is not a motion planner. The transfer planner requires one new tip per row and checks source/dead/destination volumes, tip capacity, wells, channels,…
    2. 02

      Verified snapshot

      PyPI stable: PyLabRobot==0.2.1, released 2026-03-23.

      PyPI stable: PyLabRobot==0.2.1, released 2026-03-23.Upstream requirement: Python =3.9. This skill uses Python 3.11 for its/stable/ documentation identifies itself as 0.2.1. /dev/ and repository
    3. 03

      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.

      Explicitly confirm the exact backend, device identity, firmware, transport,Reconcile the physical deck against the resource tree, including carriers,Verify calibration, teaching, motion envelopes, collision risks, gripper or
    4. 04

      Required intake

      Do not guess any of these:

      Exact device model, installed options, firmware, computer/OS, and transport.Stable PyLabRobot version and required extras.Deck/deck origin, carriers, adapters, resource definitions, dimensions,
    5. 05

      Reproducible install

      For offline API inspection and chatterbox simulation:

      For offline API inspection and chatterbox simulation:On Windows, use .venv-pylabrobot\Scripts\python.exe. Do not install hardware extras until the user names the device and explicitly approves its transport dependencies. Then inspect the matching stable device page before…

    Permission review

    Static risk signals and limitations

    Runs scripts

    medium · line 89

    The documentation asks the agent to run terminal commands or scripts.

    python3 skills/pylabrobot/scripts/validate_manifest.py \

    Runs scripts

    medium · line 92

    The documentation asks the agent to run terminal commands or scripts.

    python3 skills/pylabrobot/scripts/check_deck_geometry.py \

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score87/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars31,966SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    K-Dense-AI/scientific-agent-skills
    Skill path
    skills/pylabrobot/SKILL.md
    Commit
    e7ac42510774624f327003c95b6650e2883bc01d
    License
    MIT
    Collected
    2026-07-28
    Default branch
    main
    View the original SKILL.md

    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:

    1. Explicitly confirm the exact backend, device identity, firmware, transport, deck, and protocol revision.
    2. Reconcile the physical deck against the resource tree, including carriers, adapters, lids, plates, tip racks, waste, labware orientation, barcodes, and every occupied coordinate.
    3. Verify calibration, teaching, motion envelopes, collision risks, gripper or channel clearances, and all aspiration/dispense coordinates.
    4. 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.
    5. Confirm guards, doors, waste capacity, containment, emergency stop readiness, PPE, biosafety/chemical controls, and a safe abort/recovery procedure.
    6. Approve a slow dry run or nonhazardous commissioning run when anything is new or changed.

    Tracker state is bookkeeping, not sensing. It cannot prove that liquid or a tip is physically present. The Visualizer renders resource/tracker events; it does not model physics. Chatterbox prints planned operations; it does not prove calibration, reachability, collision freedom, liquid behavior, or device state.

    Required intake

    Do not guess any of these:

    • Exact device model, installed options, firmware, computer/OS, and transport.
    • Stable PyLabRobot version and required extras.
    • Deck/deck origin, carriers, adapters, resource definitions, dimensions, coordinates, orientations, and motion clearances.
    • Plate/tube/reservoir capacities and dead volumes; initial physical volumes.
    • Tip model, filter, fitting, capacity, rack state, channel count, and channel mapping.
    • Transfer units (uL, mm, uL/s, s), heights, rates, mixing, air gaps, blowout, liquid properties, and validated vendor liquid class.
    • Contamination policy, controls, waste handling, operator interventions, acceptance criteria, and recovery procedure.

    If information is missing, produce an assumptions/blockers list and an offline draft only.

    Reproducible install

    For offline API inspection and chatterbox simulation:

    uv venv --python 3.11 .venv-pylabrobot
    uv pip install --python .venv-pylabrobot/bin/python "PyLabRobot==0.2.1"
    

    On Windows, use .venv-pylabrobot\Scripts\python.exe. Do not install hardware extras until the user names the device and explicitly approves its transport dependencies. Then inspect the matching stable device page before considering a pin such as "PyLabRobot[serial]==0.2.1" or "PyLabRobot[usb]==0.2.1".

    Offline-first workflow

    Run from the repository root. Every bundled CLI uses strict, bounded UTF-8 JSON/CSV, local non-symlink paths, fixed allowlists, and JSON output. None can select a live backend.

    python3 skills/pylabrobot/scripts/validate_manifest.py \
      --input tests/pylabrobot/fixtures/protocol_manifest.json
    
    python3 skills/pylabrobot/scripts/check_deck_geometry.py \
      --input tests/pylabrobot/fixtures/protocol_manifest.json
    
    python3 skills/pylabrobot/scripts/plan_transfers.py \
      --manifest tests/pylabrobot/fixtures/protocol_manifest.json \
      --transfers tests/pylabrobot/fixtures/transfers.csv
    
    python3 skills/pylabrobot/scripts/generate_simulation_plan.py \
      --manifest tests/pylabrobot/fixtures/protocol_manifest.json \
      --transfers tests/pylabrobot/fixtures/transfers.csv
    
    python3 skills/pylabrobot/scripts/inspect_backends.py \
      --expected-version 0.2.1 --strict
    

    The geometry checker uses conservative static axis-aligned boxes; it is not a motion planner. The transfer planner requires one new tip per row and checks source/dead/destination volumes, tip capacity, wells, channels, heights, rates, units, and allowlists. Review assets/protocol-manifest.schema.json and the synthetic fixtures before making a project-specific manifest.

    Verified software-only example

    The exact backend below is software-only. Do not substitute a hardware backend.

    from pylabrobot.liquid_handling import LiquidHandler
    from pylabrobot.liquid_handling.backends import LiquidHandlerChatterboxBackend
    from pylabrobot.resources import (
        Cor_96_wellplate_360ul_Fb,
        PLT_CAR_L5AC_A00,
        TIP_CAR_480_A00,
        hamilton_96_tiprack_1000uL_filter,
        set_tip_tracking,
        set_volume_tracking,
    )
    from pylabrobot.resources.hamilton import STARLetDeck
    
    set_tip_tracking(True)
    set_volume_tracking(True)
    
    deck = STARLetDeck()
    tip_carrier = TIP_CAR_480_A00(name="tip_carrier")
    tips = hamilton_96_tiprack_1000uL_filter(name="tips")
    tip_carrier[0] = tips
    plate_carrier = PLT_CAR_L5AC_A00(name="plate_carrier")
    source = Cor_96_wellplate_360ul_Fb(name="source")
    destination = Cor_96_wellplate_360ul_Fb(name="destination")
    plate_carrier[0] = source
    plate_carrier[1] = destination
    deck.assign_child_resource(tip_carrier, rails=3)
    deck.assign_child_resource(plate_carrier, rails=15)
    source.get_well("A1").tracker.set_volume(100.0)  # planned state, not sensing
    
    lh = LiquidHandler(backend=LiquidHandlerChatterboxBackend(), deck=deck)
    await lh.setup()  # safe here only because the backend above is software-only
    try:
        await lh.pick_up_tips(tips["A1"])
        await lh.aspirate(source["A1"], vols=[10.0])
        await lh.dispense(destination["A1"], vols=[10.0])
        await lh.return_tips()
    finally:
        await lh.stop()
    

    API rules that prevent stale code

    • Current names are STARBackend, VantageBackend, EVOBackend, and OpentronsOT2Backend; do not use stale STAR, TecanBackend, OpentronsBackend, or ChatterboxBackend imports.
    • Use LiquidHandlerChatterboxBackend for generic offline liquid-handler testing. ChatterBoxBackend is a separate legacy-named export; do not conflate the two.
    • Visualizer(resource=...) is valid, followed by await vis.setup() and await vis.stop(); it starts localhost HTTP/WebSocket servers and may open a browser.
    • There is no generic from pylabrobot.liquid_handling import LiquidClass in 0.2.1. Stable liquid classes are vendor-specific, for example pylabrobot.liquid_handling.liquid_classes.hamilton.HamiltonLiquidClass.
    • Most frontend methods are async. Backend kwargs and capabilities are vendor/model specific; a shared frontend does not imply identical behavior.

    References

    • Liquid handling — operations, tips, tracking, liquid classes, units, and validation.
    • Resources — decks, coordinates, plates, tip racks, collisions, state, and serialization.
    • Hardware backends — verified names, support levels, capabilities, and live-run gate.
    • Analytical equipment — plate readers and scales.
    • Material handling — pumps, heaters, shakers, temperature control, storage, and centrifuges.
    • Visualization — chatterbox, Visualizer, localhost services, and simulation limits.

    Dated upstream sources

    Checked 2026-07-23:

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