opentrons-integration
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Authors, reviews, migrates, simulates, and troubleshoots official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots. Use for robot-specific liquid handling, deck and labware setup, pipettes, modules, runtime parameters, liquid classes, and Opentrons App analysis. Use pylabrobot instead when one workflow must support multiple robot vendors.
- Package
- 16 files, 108 KB
- SKILL.md
- 1857 words, 12+ sections
- Code
- Python (6)
- Allowed tools
ReadWriteEditBash- License
- MIT
- Compatibility
- Requires Python 3.10+ and uv for local simulation. Flex examples target opentrons 10.0.0 and API 2.29 (documented robot maximum 2.30); the separate OT-2 line targets API 2.28 and uses opentrons 9.0.0 as its local compatibility simulator. Physical execution requires compatible hardware, current robot software, and the appropriate Opentrons App.
SKILL.md covers: Opentrons Integration · Overview · Safety Boundary · Choose the Right Interface · Required Intake · Install and Simulate · Protocol Skeletons · Flex, API 2.29 · OT-2, API 2.28 · Authoring Workflow · 1. Select robot and API level · 2. Build the deck explicitly
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 15 KB |
requirements-flex.txt | doc | 18 B |
requirements-ot2.txt | doc | 17 B |
references/api_reference.md | doc | 13 KB |
references/liquid_handling.md | doc | 13 KB |
references/migration-api-2-19-to-2-29.md | doc | 8.5 KB |
references/modules_and_deck.md | doc | 12 KB |
references/protocol_authoring.md | doc | 11 KB |
references/sources.md | doc | 9.1 KB |
references/validation_and_operations.md | doc | 10 KB |
scripts/absorbance_reader_template.py | script | 2.3 KB |
scripts/basic_protocol_template.py | script | 1.8 KB |
scripts/ot2_basic_protocol_template.py | script | 1.7 KB |
scripts/pcr_setup_template.py | script | 4.7 KB |
scripts/runtime_parameters_template.py | script | 3.2 KB |
scripts/serial_dilution_template.py | script | 3.3 KB |
External hosts referenced
docs.opentrons.com github.com arxiv.org labware.opentrons.com pypi.org doi.org export.arxiv.org opentrons.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-opentrons-integration-scan.json
- Badge for your README:
- Request a re-scan