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 opentrons-integrationgit 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/opentrons-integration)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/opentrons-integration"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/opentrons-integration/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/opentrons-integration"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/opentrons-integration.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 | $0.00079 | $0.03395 |
| Opus 5.5 | $0.00032 | $0.01358 |
| Sonnet 5.5 | $0.00016 | $0.00679 |
| Haiku 4.5 | $0.00008 | $0.00340 |
Grade A, and why
opentrons-integration 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 opentrons-integration — 53 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 — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opentrons Integration
Overview
Create production-minded Python Protocol API v2 protocols for Opentrons Flex and OT-2. This skill covers protocol structure, hardware and deck configuration, liquid handling, runtime customization, module control, simulation, and safe deployment.
The verified baseline as of 2026-07-23 is:
opentrons==9.1.1for reproducible Flex simulation.opentrons==9.0.0for local OT-2 API 2.28 compatibility simulation.- Flex supports API levels 2.15 through 2.29 on current software.
- OT-2 supports API levels 2.0 through 2.28 on current software.
- API 2.29 is Flex-only at this baseline. Do not put
2.29in an OT-2 protocol.
Read references/sources.md for the upstream documentation used for this
snapshot. Recheck the official versioning page before targeting newer robot
software.
Safety Boundary
Opentrons protocols control physical equipment. Never treat successful Python syntax or local simulation as permission to run on a robot.
Before live execution:
- Simulate locally with the same pinned
opentronsversion used for authoring. - Import the protocol into the correct Opentrons App and require successful analysis.
- Verify robot model, software, pipettes, mounts, modules, adapters, labware definitions, deck fixtures, tip count, source volumes, dead volumes, and destination capacity.
- Review the run preview and deck map with the operator.
- Perform a slow dry run with nonhazardous liquid when geometry, custom labware, partial tip pickup, or gripper moves are new.
- Keep the emergency stop accessible and follow site-specific biosafety, chemical-safety, and contamination-control procedures.
Simulation cannot verify physical calibration, liquid properties, meniscus behavior, labware manufacturing tolerances, cap or seal removal, tubing, or all possible collisions.
Choose the Right Interface
Use this skill for Python files imported into the Opentrons App and run through the Protocol API.
- Use Protocol Designer for supported no-code workflows.
- Use PyLabRobot for a hardware-agnostic workflow spanning vendors.
- Treat the robot's HTTP API as a separate integration surface. If direct HTTP control is explicitly required, use the OpenAPI document served by the target robot and do not infer endpoints from Protocol API methods.
What ships with it
15 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.
- references/api_reference.md 12 KB
- references/liquid_handling.md 11 KB
- references/migration-api-2-19-to-2-29.md 8.1 KB
- references/modules_and_deck.md 11 KB
- references/protocol_authoring.md 11 KB
- references/sources.md 7.5 KB
- references/validation_and_operations.md 9.6 KB
- requirements-flex.txt 17 B
- requirements-ot2.txt 17 B
- scripts/absorbance_reader_template.py 2.3 KB runs code
- scripts/basic_protocol_template.py 1.8 KB runs code
- scripts/ot2_basic_protocol_template.py 1.7 KB runs code
- scripts/pcr_setup_template.py 4.3 KB runs code
- scripts/runtime_parameters_template.py 3.1 KB runs code
- scripts/serial_dilution_template.py 3.2 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 · 340 lines · 79 tokens per session scan A 6d647ecd7205
opentrons-integration is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 79 tokens to every session and 3,395 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to opentrons-integration, differing in 53 lines, and is treated as a copy.
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