nextflow SKILL.md skillA
nextflow from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/nextflow@v1.4Pins v1.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/nextflow/SKILL.md- Versions recorded
- 7
- Latest version
- v1.4, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 14,939 bytes
- Repository stars
- 56,497
- License
- MIT
Builds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs.
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
# Nextflow ## Overview Nextflow is a workflow language and runtime for building **reproducible, portable, scalable** data pipelines. It is dominant in bioinformatics but works for any data-heavy computation. nf-core is a community curating production-grade Nextflow pipelines, reusable modules, and the `nf-core` tooling on top of Nextflow. Key ideas: - **Dataflow programming**: pipelines are `process` tasks connected by **channels**. Nextflow infers execution order and parallelism from data dependencies — there is no explicit scheduler to write. - **Write once, run anywhere**: the same pipeline runs locally, on HPC (SLURM, SGE, LSF, PBS), and on cloud (AWS Batch, Google Batch, Azure Batch, Kubernetes) by changing config/profiles, not code. - **Reproducibility**: pinned software environments and pipeline revisions, immutable inputs/references, recorded parameters and seeds. `-resume` is a computational cache, not scientific validation. Conda is an environment manager; Wave resolves/builds images rather than executing them. - **DSL2** is the modern, required syntax: modular `process`/`workflow`/`include` definitions. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/nextflow@sha256:daa37795b3fe13ebThe line at the top of this page pins the label v1.4, 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_vxnsglsq55rra6xj)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 19 days. Its first recorded version is graded B and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.4 latest | 2026-10-01 | a92663a | 14,939 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 13,172 B | B | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 13,172 B | B | view · diff |
| v1.1 | 2026-07-31 | 4226ca8 | 12,214 B | B | view · diff |
| v1.0 | 2026-07-31 | bd99c01 | 12,214 B | B | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 12,211 B | B | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 12,216 B | B | 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 (14939 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
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vxnsglsq55rra6xj GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/nextflow GET https://markdownregistry.com/api/v1/blob/daa37795b3fe13ebf1c980acafb8401c4d1d7749dae013acc948f76c50c7379c
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.