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 agentlas-ai/agentlas-desktop --skill pylabrobotgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/pylabrobot)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/pylabrobot"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/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.
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/pylabrobot"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/pylabrobot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.5 | $0.00020 | $0.01074 |
| Sonnet 5.5 | $0.00010 | $0.00537 |
| Haiku 4.5 | $0.00005 | $0.00269 |
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 1mo 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.
This is a copy
100% identical to pylabrobot — 85 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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 repositorymaindescribe unreleased work and must not be assumed available in 0.2.1.- Stable liquid-handler backends include
STARBackend,VantageBackend,EVOBackend,OpentronsOT2Backend, and the offlineLiquidHandlerChatterboxBackend. - PyLabRobot's GitHub Releases page has no 0.2.x software release entry; use
the PyPI history,
v0.2.1tag, 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.
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.
- assets/protocol-manifest.schema.json 7.7 KB
- references/analytical-equipment.md 7.4 KB
- references/hardware-backends.md 8.0 KB
- references/liquid-handling.md 8.4 KB
- references/material-handling.md 8.1 KB
- references/resources.md 8.5 KB
- references/visualization.md 6.5 KB
- scripts/__init__.py 72 B runs code
- scripts/_common.py 26 KB runs code
- scripts/check_deck_geometry.py 1.3 KB runs code
- scripts/generate_simulation_plan.py 4.7 KB runs code
- scripts/inspect_backends.py 6.9 KB runs code
- scripts/plan_transfers.py 1.5 KB runs code
- scripts/validate_manifest.py 1.4 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.
- 1mo ago First seen · 234 lines · 49 tokens per session scan A 568f253b44fe
pylabrobot is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 2,686 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to pylabrobot, differing in 85 lines, and is treated as a copy.
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i4h-catheter-navigation
Overview of workflows/catheternavigation/ (fluorosim DRR, XPBD physics, vasculature digital twin). Use when the user asks what the catheter navigation workflow is, what's supported, or where to start.
opentrons-integration
Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
pylabrobot
Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API…
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Use this skill when running or tuning AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, or when deploying vss-auto-calibration. Do not use for non-AMC calibration or runtime analytics.
spice-sim
Add or run an ngspice-backed Zener testbench with pcb sim.