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ngs-fastq-qc Skill

AI Agent SkillJavaScriptOpen source

Validate FASTQ inputs, run local FastQC/MultiQC QC, interpret QC signals, and optionally execute fastp or Cutadapt trimming branches without overwriting raw reads. Published by openai in plugins.

Decision snapshot

Is this a fit?

Best for

Data analysis, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

19 days ago

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is ngs-fastq-qc Skill?

Validate FASTQ inputs, run local FastQC/MultiQC QC, interpret QC signals, and optionally execute fastp or Cutadapt trimming branches without overwriting raw reads. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
92/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Declared skill metadata

  • Source file: plugins/ngs-analysis/skills/ngs-fastq-qc/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use ngs-fastq-qc Skill

  • Use it for data analysis.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/ngs-analysis/skills/ngs-fastq-qc/SKILL.md

What it does

Validate FASTQ inputs, run local FastQC/MultiQC QC, interpret QC signals, and optionally execute fastp or Cutadapt trimming branches without overwriting raw reads.

Skill instructions

FASTQ QC Use this skill for QC-only, trimming-first, or FASTQ quality interpretation workflows. This skill can execute the plugin-owned local FastQ QC runner when the user approves a local run. It should decide whether trimming or additional investigation is warranted; it should not blindly trim by default. Essential Inputs Confirm: - FASTQ paths and pairing convention - whether output should be QC-only or trimmed FASTQs - known adapter or primer sequences - organism if contamination screening or host depletion is requested - output directory - whether FASTQs are raw, demultiplexed, previously trimmed, or downloaded from an archive - whether downstream analysis expects original read lengths, UMIs, or inline barcodes Public Tools Default tool set: - FastQC for raw read QC - MultiQC for project-level summary - fastp for all-in-one QC/trimming when acceptable - Cutadapt when primer/adapter handling needs explicit sequences - seqkit for quick counts, stats, and subsampling Preflight bash p

Verified compatibility and discovery

Frequently asked questions

What is ngs-fastq-qc?

ngs-fastq-qc is a open-source AI agent skill with Copy skill directory. Validate FASTQ inputs, run local FastQC/MultiQC QC, interpret QC signals, and optionally execute fastp or Cutadapt trimming branches without overwriting raw reads.

Who is ngs-fastq-qc best for?

ngs-fastq-qc is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install ngs-fastq-qc?

Install or run ngs-fastq-qc using Copy skill directory. Check ngs-fastq-qc for the latest setup command.

Is ngs-fastq-qc actively maintained?

ngs-fastq-qc may need a closer maintenance check before production use.

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5,140
Forks
717
Last commit
19 days ago
Last verified
Aug 24, 2026
Metadata fetched
Aug 24, 2026
Repository age
6 months
License
Unknown

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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