Agent Skills › K-Dense-AI/scientific-agent-skills › benchling-integration

benchling-integration

GitHub

提供Benchling Python SDK及REST API集成能力,涵盖注册实体、库存、ELN、工作流及数据仓库查询。用于自动化实验室数据处理与系统集成。

skills/benchling-integration/SKILL.md K-Dense-AI/scientific-agent-skills

Trigger Scenarios

需要操作Benchling平台数据 自动化实验室记录或库存管理 集成Benchling工作流或应用

Install

npx skills add K-Dense-AI/scientific-agent-skills --skill benchling-integration -g -y
More Options

Use without installing

npx skills use K-Dense-AI/scientific-agent-skills@benchling-integration

指定 Agent (Claude Code)

npx skills add K-Dense-AI/scientific-agent-skills --skill benchling-integration -a claude-code -g -y

安装 repo 全部 skill

npx skills add K-Dense-AI/scientific-agent-skills --all -g -y

预览 repo 内 skill

npx skills add K-Dense-AI/scientific-agent-skills --list

SKILL.md

Frontmatter
{
    "name": "benchling-integration",
    "license": "MIT",
    "metadata": {
        "version": "1.7",
        "openclaw": {
            "envVars": [
                {
                    "name": "BENCHLING_TENANT_URL",
                    "required": true,
                    "description": "Benchling tenant base URL."
                },
                {
                    "name": "BENCHLING_API_KEY",
                    "required": false,
                    "description": "API key auth (alternative to OAuth)."
                },
                {
                    "name": "BENCHLING_CLIENT_ID",
                    "required": false,
                    "description": "OAuth app client id."
                },
                {
                    "name": "BENCHLING_CLIENT_SECRET",
                    "required": false,
                    "description": "OAuth app client secret."
                },
                {
                    "name": "BENCHLING_PROD_TENANT_URL",
                    "required": false,
                    "description": "Production tenant URL (multi-env setups)."
                },
                {
                    "name": "BENCHLING_PROD_API_KEY",
                    "required": false,
                    "description": "Production API key (multi-env setups)."
                },
                {
                    "name": "BENCHLING_STAGING_TENANT_URL",
                    "required": false,
                    "description": "Staging tenant URL (multi-env setups)."
                },
                {
                    "name": "BENCHLING_STAGING_API_KEY",
                    "required": false,
                    "description": "Staging API key (multi-env setups)."
                }
            ],
            "primaryEnv": "BENCHLING_API_KEY"
        },
        "skill-author": "K-Dense Inc.",
        "last-reviewed": "2026-09-30"
    },
    "description": "Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.",
    "allowed-tools": "Read Write Edit Bash",
    "compatibility": "Requires Python 3.9+, benchling-sdk 1.25.0, network access, a Benchling tenant with API access, and API key or OAuth app credentials."
}

Benchling Integration

When to use

Use this skill for Benchling registry entities, sequence imports, inventory, ELN entries, workflow tasks, apps, event-driven integrations, and warehouse analytics.

Reviewed 2026-09-30: examples target the released benchling-sdk 1.25.0 and its stable v2 API models. The current authentication guide recommends V3 for new development, while the V3 guide still describes endpoint-specific early access. Confirm your tenant's V3 availability and stability before migrating; these v2 SDK examples must not be mechanically rewritten to V3.

SDK imports, model serialization, and request construction were checked locally against 1.25.0. Tenant-dependent examples are illustrative: no authenticated requests, mutations, AWS deployment, or warehouse connection were run.

Workflow

  1. Identify the tenant, API version, identity, and permissions. Use OAuth app credentials for background integrations; use delegated authorization when acting as an individual user. See authentication.
  2. Read the relevant schema and resolve actual folder, registry, status, and dropdown IDs. Preserve sequence alphabet/topology and sample units. A valid Python model does not establish biological correctness or satisfaction of a tenant's required fields.
  3. Read a small filtered page before writing. Use typed SDK methods and check their actual parameter names; not all services share the same CRUD naming convention.
  4. Construct and serialize a representative payload. For imports, retain external IDs and returned Benchling IDs so a retry can reconcile a partial run without duplicates.
  5. Perform the requested operation and read back the result. Check terminal async status; completed polling can still mean FAILED.

Setup and a read-only query

uv pip install "benchling-sdk==1.25.0"
import os
from benchling_sdk.benchling import Benchling
from benchling_sdk.auth.client_credentials_oauth2 import ClientCredentialsOAuth2

tenant_url = os.environ["BENCHLING_TENANT_URL"].rstrip("/")
benchling = Benchling(
    url=tenant_url,
    auth_method=ClientCredentialsOAuth2(
        client_id=os.environ["BENCHLING_CLIENT_ID"],
        client_secret=os.environ["BENCHLING_CLIENT_SECRET"],
        token_url=f"{tenant_url}/oauth/token",
    ),
)
for page in benchling.dna_sequences.list(page_size=10, name_includes="plasmid"):
    for sequence in page:
        print(sequence.id, sequence.name)
    break  # deliberate first-page connectivity/permission check

A successful empty page is a valid connectivity result. It does not imply access to all projects. There is no documented v2 users/me route or SDK users.get_me().

Important SDK conventions

  • Import fields from benchling_sdk.helpers.serialization_helpers. Its input is {"field_name": {"value": value}}, including the inner value mapping.
  • Use dna_sequence_id for DNA updates and workflow_task_id for workflow updates. Workflow task creation requires a workflow_task_group_id.
  • Entry methods are create_entry, get_entry_by_id, list_entries, and update_entry.
  • list() usually returns pages; iterate twice to reach the objects. estimated_count is a property that can raise NotImplementedError, not a method or guaranteed count.
  • Moving a tube uses ContainerUpdate(parent_storage_id=...). Material transfer is a separate operation; it changes contents and quantities.
  • Register on creation with registry_id plus either entity_registry_id (a human registry identifier) or naming_strategy. Do not confuse those with the registry's ID.

Common use cases

Import FASTA sequences

Install Biopython separately (uv pip install biopython). This illustrative import creates unregistered linear DNA; choose topology and resolve collisions before running.

from Bio import SeqIO
from benchling_sdk.models import DnaSequenceCreate

for record in SeqIO.parse("sequences.fasta", "fasta"):
    payload = DnaSequenceCreate(
        name=record.id,
        bases=str(record.seq),
        is_circular=False,
        folder_id="lib_example",
    )
    created = benchling.dna_sequences.create(payload)
    print(record.id, created.id)  # persist this mapping for restart/reconciliation

Audit inventory under a location

for page in benchling.containers.list(ancestor_storage_id="box_example"):
    for container in page:
        print(container.id, container.name, container.barcode)

ancestor_storage_id includes descendants. For immediate children only, inspect the returned parent storage or use the documented storage-contents service.

Export sequences for one schema

import csv

with open("sequences.csv", "w", newline="", encoding="utf-8") as handle:
    writer = csv.DictWriter(handle, fieldnames=["id", "name", "bases", "length"])
    writer.writeheader()
    for page in benchling.dna_sequences.list(schema_id="ts_example"):
        for seq in page:
            writer.writerow({
                "id": seq.id, "name": seq.name,
                "bases": seq.bases, "length": len(seq.bases),
            })

References

Citing Scientific Agent Skills

This skill is part of Scientific Agent Skills by K-Dense. If it materially contributed to a manuscript, report, presentation, or code release, add the paper to the references or software section and tell the user you did so:

Kassis, T., Agarwal, V., He, Y., Patel, D., & Brueckner, A. M. (2026). Scientific Agent Skills: A Library of Procedural Knowledge for Research Agents. arXiv:2609.00065. https://doi.org/10.48550/arXiv.2609.00065

Always cite the current version. The DOI and https://arxiv.org/abs/2609.00065 resolve to the latest arXiv version, so never append a version suffix such as v1. When network access is available, fetch https://arxiv.org/abs/2609.00065 (or http://export.arxiv.org/api/query?id_list=2609.00065) before writing the reference and take the author list, year, and version from that record. If the record lists a journal reference or publisher DOI, cite the published version instead.

Version History

  • 593377b Current 2026-10-20 01:57

    版本升级至1.6,更新API端点、包版本及文档说明,确保示例与benchling-sdk 1.25.0兼容,并增加V3 API迁移注意事项。

  • 49c6e97 2026-09-23 05:57

    更新版本号至2.66.0,优化技能文档并添加引用指南

  • 390f514 2026-08-20 14:58

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