roary-pangenome SKILL.md skillA

roary-pangenome 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/roary-pangenome@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/annotation/roary-pangenome/SKILL.md
Versions recorded
3
Latest version
git:20260929.7a7d60f, committed Sep 29, 2026
First version recorded
May 28, 2026
Size
23,125 bytes
Repository stars
381
License
a license file GitHub does not identify

Compute the bacterial pan-genome from Prokka/Bakta GFF3 annotations with Roary's CD-HIT + BLAST + MCL clustering pipeline. Builds gene presence/absence matrices, core/soft-core/shell/cloud partitions, multi-FASTA core gene alignments (with `-e`), and a pan-genome reference. Use Panaroo for higher-accuracy pan-genomes from highly fragmented assemblies, PIRATE for paralog-aware clustering, or PPanGGOLiN for graph-based partitioning.

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

# Roary Pan-Genome Pipeline

## Overview

Roary is a high-throughput pan-genome pipeline for prokaryotes that takes per-sample GFF3 annotations (typically from Prokka or Bakta) and produces a clustered gene presence/absence matrix across the entire input set. It first reduces redundancy with CD-HIT iterative clustering, then performs an all-vs-all BLASTP within each pre-cluster, and finally applies MCL graph clustering to define orthologous gene families. The output partitions the gene space into core (≥ 99 %), soft-core (95–99 %), shell (15–95 %), and cloud (< 15 %) genes and optionally builds a concatenated core-gene alignment suitable for phylogenetic inference.

## When to Use

- Computing a pan-genome from a set of bacterial isolate annotations (10–10,000 genomes)
- Producing a `gene_presence_absence.csv` matrix for downstream GWAS, accessory-gene mining, or core-gene phylogenetics
- Building a concatenated core-gene multi-FASTA alignment for ML/Bayesian phylogenetic trees
- Generating a pan-genome reference FASTA to use as a non-redundant gene catalog
- Comparative genomics across closely related strains where >95 % nucleotide identity is expected
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jaechang-hits/sciagent-skills/roary-pangenome@sha256:a24cdffe89fbd507

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_yfwwd25r3a7lqbp2.svg)](https://markdownregistry.com/a/art_yfwwd25r3a7lqbp2)

3 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 23,125 BA view · diff
git:20260929.35fe6e32026-09-29 35fe6e3 23,174 BA view · diff
git:20260528.3e3f9982026-05-28 3e3f998 20,824 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 (23125 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_yfwwd25r3a7lqbp2
GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/roary-pangenome
GET https://markdownregistry.com/api/v1/blob/a24cdffe89fbd507067353a816762ac75cae177186af01af4ed1faf2d81e6504

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.

More from jaechang-hits/sciagent-skills

sciagent-skill-creator SKILL.md skill
jaechang-hits/sciagent-skills · .claude/skills/sciagent-skill-creator/SKILL.md · Scaffold a new SciAgent-Skills entry. Picks pipeline/toolkit/database/guide template, creates…
git:20260724.bf9634e · audit A · 381 stars
AGENTS.md AGENTS.md file
jaechang-hits/sciagent-skills · AGENTS.md
git:20260929.35fe6e3 · audit A · 381 stars
CLAUDE.md CLAUDE.md file
jaechang-hits/sciagent-skills · CLAUDE.md
git:20260724.bf9634e · audit B · 381 stars
AGENTS.md@integration-templates AGENTS.md file
jaechang-hits/sciagent-skills · integration-templates/AGENTS.md
git:20260417.ab7289e · audit A · 381 stars
opentrons-integration SKILL.md skill
jaechang-hits/sciagent-skills · legacy/opentrons-integration/SKILL.md · Opentrons Protocol API v2 for OT-2/Flex: Python protocols for pipetting, serial dilutions, PCR, plate replication…
git:20260528.7303680 · audit A · 381 stars
plotly-interactive-visualization SKILL.md skill
jaechang-hits/sciagent-skills · legacy/plotly-interactive-visualization/SKILL.md · Interactive visualization with Plotly. 40+ chart types (scatter, line, heatmap, 3D, geographic) with hover, zoom, pan…
git:20260528.7303680 · audit A · 381 stars
seaborn-statistical-visualization SKILL.md skill
jaechang-hits/sciagent-skills · legacy/seaborn-statistical-visualization/SKILL.md · Statistical visualization on matplotlib + pandas. Distributions (histplot, kdeplot, violin, box), relational (scatter…
git:20260528.7303680 · audit A · 381 stars
single-cell-annotation SKILL.md skill
jaechang-hits/sciagent-skills · legacy/single-cell-annotation/SKILL.md · Best practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated…
git:20260528.7303680 · audit A · 381 stars
pymc-bayesian-modeling SKILL.md skill
jaechang-hits/sciagent-skills · skills/biostatistics/pymc-bayesian-modeling/SKILL.md · Bayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison…
git:20260428.81ea2d2 · audit A · 381 stars
scikit-survival-analysis SKILL.md skill
jaechang-hits/sciagent-skills · skills/biostatistics/scikit-survival-analysis/SKILL.md · Time-to-event modeling with scikit-survival: Cox PH (elastic net), Random Survival Forests, Boosting, SVMs for censored…
git:20260929.7a7d60f · audit A · 381 stars
statistical-analysis SKILL.md skill
jaechang-hits/sciagent-skills · skills/biostatistics/statistical-analysis/SKILL.md · Guided statistical analysis: test choice, assumption checks, effect sizes, power, APA reporting. Pick tests, verify…
git:20260428.81ea2d2 · audit A · 381 stars
statsmodels-statistical-modeling SKILL.md skill
jaechang-hits/sciagent-skills · skills/biostatistics/statsmodels-statistical-modeling/SKILL.md · Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA…
git:20260428.81ea2d2 · audit A · 381 stars

Every file in jaechang-hits/sciagent-skills

Browse by kind, by grade A, or by owner.