run-module

run-module is a skill for Claude Code, Codex from nextflow-io/agent-skills. It costs 32 tokens per session (1,570 once invoked), scanned A, original, Apache-2.0.

A guide for running reusable Nextflow modules directly from the Nextflow Registry. A module is a packaged workflow component that performs a defined processing task.

In plain words
What is it for?
Use it to search for modules, inspect their commands and parameters, run them, and retrieve module information.
Why use it?
It helps find the right module and use its required arguments without writing a separate wrapper workflow.

Skill for Claude CodeCodex

Part of the nextflow plugin — 5 skills, 1 command, 1 MCP server 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/nextflow-io/agent-skills/run-module
Any agent
npx skills add nextflow-io/agent-skills --skill run-module
Clone the repo
git clone --depth 1 https://github.com/nextflow-io/agent-skills

Made for: Claude Code, Codex.

Or install nextflow, the plugin that ships this one along with the rest of its 5 skills, 1 command, 1 MCP server.

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 run-module

README.md
[![agentmods](https://agentmods.dev/badge/skills/nextflow-io/agent-skills/run-module.svg)](https://agentmods.dev/skills/nextflow-io/agent-skills/run-module)
Your own site
<a href="https://agentmods.dev/skills/nextflow-io/agent-skills/run-module"><img src="https://agentmods.dev/badge/skills/nextflow-io/agent-skills/run-module.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,570 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 $0.00032 $0.01570
Opus 5 $0.00016 $0.00785
Sonnet 5 $0.00006 $0.00314
Haiku 4.5 $0.00003 $0.00157

Measured 4d ago against content hash 206c2ad84616, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

run-module 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.

skills/run-module/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run Nextflow Modules

Run modules from the Nextflow Registry natively using nextflow module commands. Everything is self-contained — no external tools or MCP needed. Modules are installed on-the-fly when run.

Modules are published under namespaces (e.g. nf-core/fastqc), and the nextflow module commands work with any of them.

Requires Nextflow 26.04 or later (for the nextflow module commands).

⛔ NEVER WRITE WRAPPER WORKFLOWS

If a module fails due to missing arguments or incorrect parameters:

WRONG - Writing a wrapper workflow:

// NEVER DO THIS - even if the module fails!
include { FASTQC } from 'nf-core/fastqc'
workflow { FASTQC(Channel.fromPath('*.fq.gz')) }

CORRECT - Use nextflow module view to get the correct parameters:

nextflow module view nf-core/fastqc

When a module run fails:

  1. Run nextflow module view <module> to get the command template
  2. Fix the arguments based on the template
  3. Re-run with nextflow module run <module> ...

NEVER create a wrapper workflow as a "fix" for missing arguments.

Step 1: Search for the Module

Use nextflow module search with a natural language term — it performs similarity search on module name, description, and features:

nextflow module search "quality control"
nextflow module search "alignment"
nextflow module search "variant calling"
nextflow module search "BAM statistics"

Step 2: Get Module Info and Run Template

Once you've identified the module, get its detailed info and the command template:

nextflow module view nf-core/fastqc

This returns the module description, inputs, parameters, and the exact run command template. Use this template as the basis for your run command.

Step 3: Substitute Template Values and Run

Replace placeholder values in the template with the user's concrete values (file paths, parameters), then execute. No explicit install is needed — modules are fetched on-the-fly:

Read the full file on GitHub · 179 lines

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 · 179 lines · 32 tokens per session scan A 206c2ad84616

Subscribe to this mod's changes

run-module is a skill published in the GitHub repository nextflow-io/agent-skills (21 stars, last pushed 29d ago), licensed Apache-2.0. It adds 32 tokens to every session and 1,570 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

biopython

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…

K-Dense-AI/scientific-agent-skills · 76 tokens

exploratory-data-analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

nature-statistics

Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions. Use when the user asks to check statistical analysis sections, p values, confidence intervals, sample size, biological versus technical replicates, randomization, blinding, multiple-comparison correction, model…

Yuan1z0825/nature-skills · 139 tokens

evaluating-with-leakage-gates

Evaluate an OpenMed de-identification or clinical NER model against the leakage-first release gates G1a through G8, which gate releases on residual PHI leakage rather than on F1. Use when the user wants to run the OpenMed eval harness on a synthetic golden set, decide whether a de-id model is RELEASABLE or…

maziyarpanahi/openmed · 158 tokens

mapping-to-snomed

Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…

maziyarpanahi/openmed · 205 tokens

mixed-precision

Use FP16/BF16 mixed precision to accelerate training and reduce memory. Use when optimizing GPU performance.

aiming-lab/AutoResearchClaw · 25 tokens