latchbio-integration

latchbio-integration is a skill for Claude Code, Codex from dralkh/seerai. It costs 45 tokens per session (2,283 once invoked), scanned A, a copy of latchbio-integration, MIT.

A Python framework for building and deploying bioinformatics workflows as cloud pipelines. It supports Python, Nextflow, and Snakemake, with cloud file handling and automatic user interfaces.

In plain words
What is it for?
Use it to create serverless pipelines for biological data analysis, store and transfer files between local and cloud systems, configure CPU, memory, storage, or GPU needs, and connect existing Nextflow or Snakemake pipelines.
Why use it?
It removes much of the manual work involved in packaging workflows, moving data, setting computing resources, and deploying them. It also helps keep workflow versions and results reproducible.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create serverless pipelines for biological data analysis, store and transfer files between local and cloud systems, configure CPU, memory, storage, or GPU needs, and connect existing Nextflow or Snakemake pipelines.

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Install with agentmods
npx agentmods add skills/dralkh/seerai/latchbio-integration
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.

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

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/dralkh/seerai/latchbio-integration/github.svg)](https://agentmods.dev/skills/dralkh/seerai/latchbio-integration)
Your own site
<a href="https://agentmods.dev/skills/dralkh/seerai/latchbio-integration"><img src="https://agentmods.dev/badge/skills/dralkh/seerai/latchbio-integration/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for latchbio-integration

Your own site · 80×15
<a href="https://agentmods.dev/skills/dralkh/seerai/latchbio-integration"><img src="https://agentmods.dev/badge/skills/dralkh/seerai/latchbio-integration.svg" alt="Reviewed on agentmods" width="80" 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 2,283 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod 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 $0.00045 $0.02283
Opus 5 $0.00023 $0.01141
Sonnet 5 $0.00009 $0.00457
Haiku 4.5 $0.00005 $0.00228

Measured 9d ago against content hash 56f43e95a433, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 9d 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

This is a copy

94% identical to latchbio-integration — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/latchbio-integration/SKILL.md · 351 lines

How it starts

The opening of the file, as written. The whole thing — 351 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
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 · 351 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. 9d ago First seen · 351 lines · 45 tokens per session scan A 56f43e95a433

Subscribe to this mod's changes

latchbio-integration is a skill published in the GitHub repository dralkh/seerai (76 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 2,283 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to latchbio-integration, differing in 6 lines, and is treated as a copy.

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