latchbio-integration

latchbio-integration is a skill for Claude Code, Codex from synthetic-sciences/openscience. It costs 45 tokens per session (2,279 once invoked), scanned A, original, Apache-2.0.

A Python integration for Latch, a platform for running bioinformatics workflows in the cloud. It supports workflows written in Python, Nextflow, or Snakemake, with cloud files, configurable computing resources, and generated user interfaces.

In plain words
What is it for?
Use it to build and deploy bioinformatics pipelines, move files between local and cloud storage, organise project records, configure compute resources, and connect existing Nextflow or Snakemake workflows.
Why use it?
It helps package research pipelines into repeatable cloud jobs without manually managing every execution environment or file transfer. It also provides a consistent way to request CPUs, memory, GPUs, storage, and time limits.

Skill for Claude CodeCodex

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/synthetic-sciences/openscience/latchbio-integration
Any agent
npx skills add synthetic-sciences/openscience --skill latchbio-integration
Clone the repo
git clone --depth 1 https://github.com/synthetic-sciences/openscience

Made for: Claude Code, Codex.

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 latchbio-integration

README.md
[![agentmods](https://agentmods.dev/badge/skills/synthetic-sciences/openscience/latchbio-integration.svg)](https://agentmods.dev/skills/synthetic-sciences/openscience/latchbio-integration)
Your own site
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/latchbio-integration"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/latchbio-integration.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,279 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00045 $0.02279
Opus 5 $0.00023 $0.01140
Sonnet 5 $0.00009 $0.00456
Haiku 4.5 $0.00005 $0.00228

Measured 4d ago against content hash 2317affc2727, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

latchbio-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 4d 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.

Origin

Copies of this mod

6 near-identical copies found in the catalogue:

backend/cli/skills/biology/latchbio-integration/SKILL.md · 353 lines

How it starts

The opening of the file, as written. The whole thing — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LatchBio Integration

Overview

Latch is a Python framework for building and deploying bioinformatics workflows as serverless pipelines. Built on Flyte, create workflows with @workflow/@task decorators, manage cloud data with LatchFile/LatchDir, configure resources, and integrate Nextflow/Snakemake pipelines.

Core Capabilities

The Latch platform provides four main areas of functionality:

1. Workflow Creation and Deployment

  • Define serverless workflows using Python decorators
  • Support for native Python, Nextflow, and Snakemake pipelines
  • Automatic containerization with Docker
  • Auto-generated no-code user interfaces
  • Version control and reproducibility

2. Data Management

  • Cloud storage abstractions (LatchFile, LatchDir)
  • Structured data organization with Registry (Projects → Tables → Records)
  • Type-safe data operations with links and enums
  • Automatic file transfer between local and cloud
  • Glob pattern matching for file selection

3. Resource Configuration

  • Pre-configured task decorators (@small_task, @large_task, @small_gpu_task, @large_gpu_task)
  • Custom resource specifications (CPU, memory, GPU, storage)
  • GPU support (K80, V100, A100)
  • Timeout and storage configuration
  • Cost optimization strategies

4. Verified Workflows

  • Production-ready pre-built pipelines
  • Bulk RNA-seq, DESeq2, pathway analysis
  • AlphaFold and ColabFold for protein structure prediction
  • Single-cell tools (ArchR, scVelo, emptyDropsR)
  • CRISPR analysis, phylogenetics, and more

Quick Start

Installation and Setup

# Install Latch SDK
python3 -m uv pip install latch

# Login to Latch
latch login

# Initialize a new workflow
latch init my-workflow

# Register workflow to platform
latch register my-workflow

Prerequisites:

  • Docker installed and running
  • Latch account credentials
  • Python 3.8+

Basic Workflow Example

from latch import workflow, small_task
from latch.types import LatchFile

@small_task
def process_file(input_file: LatchFile) -> LatchFile:
    """Process a single file"""
    # Processing logic
    return output_file

@workflow
def my_workflow(input_file: LatchFile) -> LatchFile:
    """
    My bioinformatics workflow

    Args:
        input_file: Input data file
    """
    return process_file(input_file=input_file)

Read the full file on GitHub · 353 lines

Files

What ships with it

4 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. 4d ago First seen · 353 lines · 45 tokens per session scan A 2317affc2727

Subscribe to this mod's changes

latchbio-integration is a skill published in the GitHub repository synthetic-sciences/openscience (3,432 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 2,279 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.

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