pipeline-rnaseq SKILL.md skillA

pipeline-rnaseq from ammawla/encode-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ammawla/encode-toolkit/pipeline-rnaseq@git:20260921.4ba10c6

Pins git:20260921.4ba10c6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ammawla/encode-toolkit
Path
skills/pipeline-rnaseq/SKILL.md
Versions recorded
5
Latest version
git:20260921.4ba10c6, committed Sep 21, 2026
First version recorded
Mar 12, 2026
Size
28,885 bytes
Repository stars
21
License
AGPL-3.0

Execute ENCODE RNA-seq pipeline from FASTQ to gene quantification and signal tracks. Child of pipeline-guide. Provides Nextflow execution with Docker and cloud deployment. Use when processing RNA-seq data with STAR alignment, RSEM/Kallisto quantification, or generating expression matrices. Trigger on: RNA-seq pipeline, gene expression, STAR alignment, RSEM quantification, transcript quantification, TPM, FPKM, RNA processing, run RNA-seq.

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

# ENCODE RNA-seq Pipeline

## When to Use

- User wants to run an RNA-seq processing pipeline from FASTQ to gene quantification
- User asks about "RNA-seq pipeline", "STAR alignment", "RSEM", "gene expression quantification", or "Kallisto"
- User needs to process bulk RNA-seq data with ENCODE-standard 2-pass STAR alignment
- Example queries: "process my RNA-seq FASTQs", "quantify gene expression from RNA-seq", "run STAR and RSEM on my data"

Execute the ENCODE RNA-seq processing pipeline from raw FASTQ files through splice-aware
alignment, gene/transcript quantification, and strand-specific signal track generation.
This skill provides a complete Nextflow DSL2 implementation following ENCODE uniform
analysis standards.

## Overview

RNA-seq measures transcriptome-wide gene expression by sequencing cDNA derived from
cellular RNA. The ENCODE pipeline processes RNA-seq data through quality control,
splice-aware alignment with STAR (2-pass mode), gene and transcript quantification
with RSEM, optional fast pseudoalignment with Kallisto, and generation of strand-specific
signal tracks as bigWig files.

Key design decisions: STAR 2-pass mode for maximum splice junction sensitivity, RSEM
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ammawla/encode-toolkit/pipeline-rnaseq@sha256:c21c680c6b81ffa3

The line at the top of this page pins the label git:20260921.4ba10c6, 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_gnkmwxpexn5c2mpy.svg)](https://markdownregistry.com/a/art_gnkmwxpexn5c2mpy)

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

Versions

The registry has recorded 5 versions of this file, between Mar 12, 2026 and Sep 21, 2026, about one every 48 days.

versioncommittedcommitsizeaudit
git:20260921.4ba10c6 latest2026-09-21 4ba10c6 28,885 BA view · diff
git:20260920.60500032026-09-20 6050003 28,879 BA view · diff
git:20260920.ce7840d2026-09-20 ce7840d 27,118 BA view · diff
git:20260321.d9029d02026-03-21 d9029d0 19,939 BA view · diff
git:20260312.be327062026-03-12 be32706 19,914 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 (28885 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

ammawla/encode-toolkit · 21 stars · license AGPL-3.0 · pushed 2026-09-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gnkmwxpexn5c2mpy
GET https://markdownregistry.com/api/v1/resolve?ref=ammawla/encode-toolkit/pipeline-rnaseq
GET https://markdownregistry.com/api/v1/blob/c21c680c6b81ffa31c9a0ca3939832f0c210b27242e3ad0aff487ed4197e7fa8

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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Other files named pipeline-rnaseq

pipeline-rnaseq SKILL.md skill
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git:20260921.4ba10c6 · audit A · 21 stars

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