benchling-integration

benchling-integration is a skill for Claude Code from jimmc414/Kosmos. It costs 44 tokens per session (2,845 once invoked), scanned A, original, no licence file.

An API connection to Benchling, a research and development platform for managing laboratory records, biological materials, and workflows.

In plain words
What is it for?
Accessing DNA and protein records, inventory, electronic lab-notebook entries, workflows, and the Benchling data warehouse, as well as building Benchling apps.
Why use it?
It reduces manual copying between code and Benchling when automating laboratory-data tasks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the scientific-skills plugin — 119 skills shipped together

Install

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.

agentmods
npx agentmods add skills/jimmc414/kosmos/benchling-integration
Any agent
npx skills add jimmc414/Kosmos --skill benchling-integration
Clone the repo
git clone --depth 1 https://github.com/jimmc414/Kosmos

Made for: Claude Code.

Or install scientific-skills, the plugin that ships this one along with the rest of its 119 skills.

Wrote 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.

agentmods badge for benchling-integration

README.md
[![agentmods](https://agentmods.dev/badge/skills/jimmc414/kosmos/benchling-integration.svg)](https://agentmods.dev/skills/jimmc414/kosmos/benchling-integration)
Your own site
<a href="https://agentmods.dev/skills/jimmc414/kosmos/benchling-integration"><img src="https://agentmods.dev/badge/skills/jimmc414/kosmos/benchling-integration.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,845 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.02845
Opus 5 $0.00022 $0.01422
Sonnet 5 $0.00009 $0.00569
Haiku 4.5 $0.00004 $0.00284

Measured 6d ago against content hash aabfcde7d808, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

benchling-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 6d 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.

kosmos-claude-scientific-skills/scientific-skills/benchling-integration/SKILL.md · 474 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 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.

Changes

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.

  1. 6d ago First seen · 474 lines · 44 tokens per session scan A aabfcde7d808

Subscribe to this mod's changes

benchling-integration is a skill published in the GitHub repository jimmc414/Kosmos (577 stars, last pushed 5mo ago), with no licence file. It adds 44 tokens to every session and 2,845 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

adaptyv

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for…

K-Dense-AI/scientific-agent-skills · 113 tokens

benchling-integration

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.

K-Dense-AI/scientific-agent-skills · 50 tokens

labarchive-integration

Securely integrate with the official LabArchives ELN REST-like API and Inventory API v1. Use for regional endpoint selection, signed-request construction, user authorization and UID flows, local LA container validation, and verified LabArchives integration workflows.

K-Dense-AI/scientific-agent-skills · 52 tokens

earth2studio-create-datasource

Create and validate Earth2Studio data source wrappers (DataSource, ForecastSource, DataFrameSource, ForecastFrameSource) from remote stores. Do NOT use for fetching data with existing sources, model inference, or installation tasks.

NVIDIA/skills · 53 tokens

assembling-fhir-bundles

Package multiple FHIR R4 resources produced from OpenMed output into a single valid transaction Bundle ready to POST to an EHR, using OpenMed's verified bundle assembler openmed.clinical.exporters.fhir.tobundle. Covers deterministic urn:uuid fullUrls, automatic in-Bundle reference rewriting, request blocks…

maziyarpanahi/openmed · 131 tokens

exporting-bulk-fhir

Kick off and harvest a FHIR Bulk Data $export (system-, group-, or patient-level) and stream the resulting NDJSON into a batch OpenMed de-identification + NER pipeline at cohort scale. Covers the async kickoff (Prefer respond-async) -> poll Content-Location -> download NDJSON flow, the Bulk Data Access IG, type/since…

maziyarpanahi/openmed · 151 tokens