parabricks
Plan NVIDIA Parabricks pbrun commands, translate CPU options and check runtime readiness. Use for individual tools, including planning-only questions.
Install / Use
npx skills add NVIDIA/skills --skill bionemo-parabricksInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of parabricks
parabricks scores 92/100 on our quality scale, 865th of 2,908 Automation skills we index (top 30%).
Its SKILL.md is 11 KB long, well organised into 16 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.
With 3,421 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 29 days ago, so parabricks is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-10-23. Automated pattern scan on 2026-10-23. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
parabricks compared with similar skills
All 4 of these similar skills score higher than parabricks; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| parabricks (this skill)by NVIDIA | 92 | 3.4k | 29d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 101.1k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.6k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 89.2k | today | MCP Server |
| crawl4aiby unclecode | 100 | 86.1k | today | MCP Server |
Frequently asked questions
- How do I install parabricks?
- Run
npx skills add NVIDIA/skills --skill parabricks. The install tabs above show the steps for each supported agent. - Which AI agents does parabricks work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is parabricks safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is parabricks still maintained?
- The repository was last updated 29 days ago, so parabricks is actively maintained.
Skill content
View source on GitHubname: parabricks description: >- Plan NVIDIA Parabricks pbrun commands, translate CPU options and check runtime readiness. Use for individual tools, including planning-only questions. license: CC-BY-4.0 AND Apache-2.0 metadata: author: "Angel Pizarro apizarro@nvidia.com" version: "1.3.0" tags: - parabricks - genomics - nvidia
Parabricks
Purpose
Use this skill to discover the right NVIDIA Parabricks pbrun command, assess
runtime readiness, and generate version-aware command guidance for individual
tools.
Do not use this skill for whole-workflow inspection, acceleration planning,
or wiring optional GPU branches. For pipeline-level work, use
genomics-workflow-acceleration.
When to Use This Skill
- Which
pbruntool fits the user's data and goal - GPU, driver, Docker, container, storage, or installation readiness
- Command shape, flags, and validation for a specific Parabricks tool
- Reference/index compatibility and CPU-to-Parabricks option translation
- Troubleshooting a single Parabricks command or tool family
- Planning-only or "do not run" questions about a named
pbruntool (for example reference/index compatibility, output naming, or flag validity). Use this skill's references to answer; do not skip it because nothing will be executed.
Prerequisites
- Command guidance: No Parabricks/NGC credential or local GPU/container runtime is required to read references or generate commands.
- Readiness helper: Requires Bash and GNU coreutils
timeout(orgtimeout) on the host being inspected. Missing runtime components are reported as readiness gaps; without a timeout utility it exits before running probes. - STAR translation helper: Requires Python 3.7 or newer, using only the standard library. It does not require a GPU or a Parabricks installation.
- Execution: The documented Docker commands require a supported Linux host,
an NVIDIA GPU with sufficient memory, a compatible NVIDIA driver, Docker,
NVIDIA Container Toolkit, and access to the selected Parabricks image.
Pulling the image may require an NGC API key for authentication to
nvcr.io. See runtime-environment.md for version-specific requirements and checks.
Tool scope: read this skill's references and user-supplied manifests; write only
requested command artifacts. Use the bundled helpers for translation or an
authorized host inspection. Documentation lookups use docs.nvidia.com; image
access uses the selected registry only for authorized container execution.
These instructions do not grant tool permissions; the host's permission policy
still applies to shell, file, network and optional documentation MCP access.
Inputs
Use the user's explicit arguments and supplied manifests as the source of truth; use prior context only where it does not conflict. Read a named manifest before translating it. For command guidance, identify the assay, input paths, reference/index provenance, outputs and target release. Ask only for missing facts that change the answer; label unresolved template values as placeholders. Required inputs are the selected tool's read/reference and output arguments. Optional inputs include intervals, resource bundles, logs and tuning parameters when supported by that tool; do not invent them to fill a template. Runtime-only questions do not need sample metadata. Supplied deployment paths are not permission to probe local data or hardware.
If the user is unsure which tool applies, scan the Tool Reference Index
below, then load the matching references/pbrun-<tool>.md file.
Limitations
This skill routes and guides Parabricks commands. It does not install Parabricks, infer missing sample metadata, guarantee output parity, provide clinical interpretation, or promise exact runtime without benchmark data.
Instructions
- Identify the requested release. The option references cover v4.7.1; examples
from another release are labeled. A software version and image tag can
differ: NVIDIA's 4.7.1 image is tagged
4.7.1-1. Preserve the user's verified image selection; use command-conventions.md for the shared launch and validation contract. - Classify the request:
- Runtime → runtime-environment.md
- Tool discovery → Tool Reference Index (below)
- Specific command → matching
references/pbrun-<tool>.md. Read it before any web search or MCP lookup; use those only to verify version-sensitive details the reference does not settle.
- Combine the tool-specific mapping with shared-options.md rows whose Tools column names the selected command. For STAR argument arrays or multi-lane batches, use the local translation helper; it preserves tokens and reports unmapped semantics without executing a workload.
- Collect missing biological and filesystem context before generating commands.
- Return the requested command or artifact with unresolved assumptions. For planning-only work, check command text against the references and supplied facts. Filesystem, container and output checks apply only to an authorized execution. Do not turn command preparation into a readiness inspection.
Available Scripts
Run these from the skill directory containing this file; paths are relative to that directory. See the helper prerequisites above.
| Script | Purpose | Arguments |
| --- | --- | --- |
| scripts/check_parabricks_runtime.sh | Inspect the execution host; report gaps without installing anything | --path DIR (repeatable), --format text\|json, --timeout SECONDS; container probes require --run-container-check or --run-parabricks-check with --parabricks-version TAG / --parabricks-image IMAGE |
| scripts/translate_star_to_parabricks.py | Convert explicit STAR argument arrays to reviewed command drafts | --input FILE or --input -; request and output schema |
Output Format
For explanations, give the decision, complete command, and remaining checks.
For file requests, write the specified path and schema, then read back and
validate the artifact against the input manifest. Report all job IDs, omitted
options and unresolved output contracts. Do not replace supplied values with
illustrative examples. The runtime helper's JSON has schema_version, checks
and readiness results; the translator emits status, draft_argv, command,
notes, issues and untranslated for each request.
Tool Reference Index
If the command is named, open references/pbrun-<command>.md directly.
For tool selection and official manual links, use tool-index.md.
Common routes:
| Request | Reference | | --- | --- | | DNA FASTQ alignment / RNA STAR translation | fq2bam / rna_fq2bam | | Existing BAM germline calls / tumor-normal calls | haplotypecaller / mutectcaller | | Giraffe graph alignment | giraffe | | STAR-Fusion migration | starfusion | | Recalibration / apply a recalibration report | bqsr / applybqsr | | BAM metrics / multiple metric families | bammetrics / collectmultiplemetrics | | GVCF indexing / joint genotyping | indexgvcf / genotypegvcf | | Panel-of-normals preparation / annotation | prepon / postpon | | BWA performance options | performance |
Examples
Runtime Readiness
For GPU, driver, Docker, container, storage, or installation questions, read runtime-environment.md and prefer:
bash scripts/check_parabricks_runtime.sh --format json
Add --path <dir> for known input/output/tmp paths. Run container probes only
with user consent.
STAR Translation
python3 scripts/translate_star_to_parabricks.py --input requests.json
Prepare the request using the translation schema.
Review issues and untranslated before using the draft. Tool references show
the pbrun portion; the shared container envelope is documented once in
command-conventions.md.
Troubleshooting
| Error | Cause | Solution |
|-------|-------|----------|
| Multiple plausible tools | Data type or goal underspecified | Ask for assay, inputs, caller preference, desired output; use Tool Reference Index |
| Exact flag requested | Options are version-sensitive | Check the selected tool reference, NVIDIA docs, or pbrun <tool> --help |
| Runtime question | GPU, Docker, drivers, or storage | Use runtime-environment reference and diagnostic script |
| Wrong tool family | Assay or input type unclear | Confirm DNA/RNA/methylation/long-read/pangenome before routing |
| CUDA or memory failure | Runtime not ready or GPU memory constrained | Assess runtime before tuning command flags |
| Documentation MCP unavailable | Connection, timeout or server error | Use the bundled release reference first; for an unresolved fact, fall back to the official versioned manual and mark any remaining uncertainty |
Guardrails
- Treat command availability and options as version-sensitive.
- Do not infer exact flags from command names alone.
- Do not collapse standalone tools and full pipelines when explaining tradeoffs.
- Do not substitute DNA
fq2bamfor RNA, or germline for somatic callers. - Do not invent sample names, read groups, reference builds, known-sites files, model files, graph resources, container tags, or output paths.
- Do not install, upgrade, or modify packages. Label setup commands as user-run.
- Do not claim CPU execution of Parabricks tools.
- Do not claim biological or VCF parity without a comparison run.
- Use the optional documentation MCP server only for details the bundled references do not settle. If its connection fails, avoid repeated discovery or lookup loops; use the official manual. Never claim a failed lookup verified an option. Documentation access does not require genomic data or credentials.
Key References
- Parabricks documentation MCP server: https://docs.nvidia.com/clara/parabricks/_mcp/server
- Parabricks tool index: https://docs.nvidia.com/clara/parabricks/tool-reference
- Output accuracy and compatible CPU software versions: https://docs.nvidia.com/clara/parabricks/about-parabricks/software-overview/output-accuracy-and-compatible-cpu-software-versions
- Getting started: https://docs.nvidia.com/clara/parabricks/get-started
- Overview: https://docs.nvidia.com/clara/parabricks/about-parabricks
Related Skills
Agent-Reach
101.1kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
77.6kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Scrapling
89.2k🕷️ A Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
crawl4ai
86.1kOpen-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key. Join our Discord https://discord.gg/VuxzM8mtf
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
