snakemake-workflow-engine SKILL.md skillA
snakemake-workflow-engine from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/snakemake-workflow-engine@git:20260428.81ea2d2Pins git:20260428.81ea2d2 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/scientific-computing/snakemake-workflow-engine/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260428.81ea2d2, committed Apr 28, 2026
- First version recorded
- Feb 18, 2026
- Size
- 18,852 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Python-based workflow manager for reproducible, scalable pipelines. Define rules with file-based dependencies; Snakemake resolves execution order and parallelism. Runs local, SLURM, LSF, AWS, GCP via profiles; per-rule conda/Singularity envs. For NGS pipelines, ML training, and multi-step file processing. Use Nextflow for Groovy dataflow or nf-core integration.
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
# Snakemake — Python Workflow Engine ## Overview Snakemake is a Python-based workflow management system that scales analyses from laptop to HPC and cloud. Workflows are defined as rules with explicit input/output file dependencies; Snakemake resolves the execution order automatically and runs independent steps in parallel. Rules can call shell commands, Python/R/Julia scripts, or inline Python. Per-rule conda or Singularity environments make workflows fully reproducible. Widely used in bioinformatics for NGS, genome assembly, and variant-calling pipelines. ## When to Use - Building reproducible multi-step bioinformatics pipelines (align → sort → call variants → annotate) - Scaling the same workflow from local development to SLURM cluster without code changes - Processing multiple samples identically using wildcard-based rules - Managing dependencies automatically — only rerun steps whose inputs changed - Deploying per-rule conda or Singularity environments for tool isolation - Generating visual DAGs and dry-run previews before committing computational resources …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/snakemake-workflow-engine@sha256:4d0db95dc5471e1fThe line at the top of this page pins the label git:20260428.81ea2d2, 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.
[](https://markdownregistry.com/a/art_wpwfk6wqltdssbzi)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Feb 18, 2026 and Apr 28, 2026, about one every 34 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260428.81ea2d2 latest | 2026-04-28 | 81ea2d2 | 18,852 B | A | view · diff |
| git:20260414.65bebbb | 2026-04-14 | 65bebbb | 19,010 B | A | view · diff |
| git:20260218.8df1694 | 2026-02-18 | 8df1694 | 18,680 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18852 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
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_wpwfk6wqltdssbzi GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/snakemake-workflow-engine GET https://markdownregistry.com/api/v1/blob/4d0db95dc5471e1fcd1b5cfd45c432a7c029850046bbfafb353ffbe0b1cc7536
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.