SKILL

benchling-integration

K-Dense-AIListed

Primary machine endpoint

https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/benchling-integration

Use with an agent

SUMMARY

What it does

This skill provides integration with Benchling, a cloud platform for life sciences R&D, via the Python SDK and REST API. It covers authentication (API key or OAuth), registry and entity management (DNA, RNA, proteins), inventory management (containers, boxes, plates, locations, transfers), notebook and documentation (entries, notes, tables), workflows and automation (tasks, flowcharts, assay runs), events and integration (AWS EventBridge), and data warehouse and analytics (SQL access). The skill includes best practices for error handling, pagination, schema fields, forward compatibility, and security. It requires a Benchling account, tenant URL, and API key or OAuth credentials, and installation of benchling-sdk.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

data.readweight 90 · confidence 90data.writeweight 90 · confidence 90data.transformweight 80 · confidence 80workflow.executeweight 80 · confidence 80integration.manageweight 70 · confidence 70

MACHINE-READABLE ENDPOINTS

How agents read it

REST JSONhttps://aiworkshub.io/api/v1/resources/RES_84B87664C071Canonical source

https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/benchling-integration/SKILL.md

ACCESS

Access requirements

Protocols: agent-skills
Authentication: type: none · required: false
Pricing: model: free
Version: 1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.