fastp-fastq-preprocessing SKILL.md skillA

fastp-fastq-preprocessing from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jaechang-hits/sciagent-skills/fastp-fastq-preprocessing@git:20260929.7a7d60f

Pins git:20260929.7a7d60f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jaechang-hits/sciagent-skills
Path
skills/genomics-bioinformatics/qc/fastp-fastq-preprocessing/SKILL.md
Versions recorded
3
Latest version
git:20260929.7a7d60f, committed Sep 29, 2026
First version recorded
May 28, 2026
Size
16,285 bytes
Repository stars
381
License
a license file GitHub does not identify

All-in-one FASTQ QC and adapter trimming. Auto-detects Illumina adapters, filters low-quality reads, corrects paired-end overlaps, emits HTML+JSON QC in one pass. 3-10x faster than Trim Galore/Trimmomatic. First step before STAR, BWA-MEM2, or Salmon.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# fastp — Fast FASTQ Quality Control and Adapter Trimming

## Overview

fastp performs adapter trimming, quality filtering, and QC reporting for Illumina FASTQ files in a single multi-threaded pass. It automatically detects adapter sequences from paired-end read overlaps — eliminating the need to specify adapters manually. fastp corrects mismatches in paired-end overlap regions, filters reads by quality score and length, removes polyX tails (polyA for RNA-seq), and generates interactive HTML and machine-readable JSON QC reports. Being 3–10× faster than Trim Galore and Trimmomatic while providing comparable or better results, fastp has become the standard preprocessing step before alignment in WGS, RNA-seq, and ChIP-seq pipelines.

## When to Use

- Trimming Illumina adapters and low-quality bases before alignment in any NGS pipeline (RNA-seq, WGS, WES, ChIP-seq, ATAC-seq)
- Generating per-sample QC reports (HTML + JSON) as the first step of a pipeline, before MultiQC aggregation
- Processing paired-end reads where adapter auto-detection from overlap is preferred over manual adapter specification
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jaechang-hits/sciagent-skills/fastp-fastq-preprocessing@sha256:20cb714c6204f1e5

The line at the top of this page pins the label git:20260929.7a7d60f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5hquqjqzajmg5zbx.svg)](https://markdownregistry.com/a/art_5hquqjqzajmg5zbx)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between May 28, 2026 and Sep 29, 2026, about one every 62 days.

versioncommittedcommitsizeaudit
git:20260929.7a7d60f latest2026-09-29 7a7d60f 16,285 BA view · diff
git:20260929.35fe6e32026-09-29 35fe6e3 16,334 BA view · diff
git:20260528.3e3f9982026-05-28 3e3f998 13,788 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16285 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5hquqjqzajmg5zbx
GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/fastp-fastq-preprocessing
GET https://markdownregistry.com/api/v1/blob/20cb714c6204f1e57395ed96e3ec3dc659ea23fd0633c1a295d96581633e4564

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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