synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.
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.
npx skills add synthetic-sciences/openscience --skill latchbio-integrationgit clone --depth 1 https://github.com/synthetic-sciences/openscienceWrote 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.
[](https://agentmods.dev/skills/synthetic-sciences/openscience/latchbio-integration)<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/latchbio-integration"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/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.
<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="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.02349 |
| Opus 5.5 | $0.00018 | $0.00940 |
| Sonnet 5.5 | $0.00009 | $0.00470 |
| Haiku 4.5 | $0.00005 | $0.00235 |
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 1mo 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- latchbio-integration — 94% identical, 12 lines differ
- latchbio-integration — 94% identical, 12 lines differ
- latchbio-integration — 94% identical, 12 lines differ
- latchbio-integration — 94% identical, 12 lines differ
- latchbio-integration — 92% identical, 7 lines differ
- latchbio-integration — 92% identical, 7 lines differ
- latchbio-integration — 92% identical, 8 lines differ
- latchbio-integration — 91% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 359 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)
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.
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.
- 1mo ago Changed · +6 lines 0bf02facab69
- 1mo ago First seen · 353 lines · 45 tokens per session scan A 2317affc2727
latchbio-integration is a skill published in the GitHub repository synthetic-sciences/openscience (4,082 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 2,349 once invoked, about $0.0002 per session on Opus 5.5. 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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