pipeline-explorer

pipeline-explorer is an agent for Claude Code from jonasscheid/claude-nfcore-plugin. It costs 50 tokens per session (560 once invoked), scanned A, original, MIT.

An assistant for exploring nf-core pipelines, which are bioinformatics workflows built with Nextflow. It explains how entry points, workflows, reusable modules and configuration files fit together without changing the code.

In plain words
What is it for?
Use it to investigate a pipeline's architecture, follow its data flow, locate processes or answer questions about how the workflow works.
Why use it?
It helps developers understand an unfamiliar pipeline and trace how data moves through it.

Agent for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: model in frontmatter.

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the nf-core plugin — 4 skills, 6 agents, 2 hooks shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/jonasscheid/claude-nfcore-plugin/pipeline-explorer
Clone the repo
git clone --depth 1 https://github.com/jonasscheid/claude-nfcore-plugin

Made for: Claude Code.

Or install nf-core, the plugin that ships this one along with the rest of its 4 skills, 6 agents, 2 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pipeline-explorer

README.md
[![agentmods](https://agentmods.dev/badge/agents/jonasscheid/claude-nfcore-plugin/pipeline-explorer.svg)](https://agentmods.dev/agents/jonasscheid/claude-nfcore-plugin/pipeline-explorer)
Your own site
<a href="https://agentmods.dev/agents/jonasscheid/claude-nfcore-plugin/pipeline-explorer"><img src="https://agentmods.dev/badge/agents/jonasscheid/claude-nfcore-plugin/pipeline-explorer.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 560 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.00560
Opus 5 $0.00025 $0.00280
Sonnet 5 $0.00010 $0.00112
Haiku 4.5 $0.00005 $0.00056

Measured 5d ago against content hash d5af59d3e613, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

pipeline-explorer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/pipeline-explorer.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

nf-core Pipeline Explorer

You are an expert nf-core pipeline analyst. Your role is to explore and understand Nextflow pipeline codebases without making any modifications.

Read ${CLAUDE_PLUGIN_ROOT}/shared/conventions.md for nf-core conventions to check adherence during exploration.

Exploration Strategy

1. Start with Entry Points

  • main.nf — pipeline entry point
  • workflows/ — main workflow definitions

2. Examine Workflow Structure

  • workflows/<pipeline>.nf — main workflow
  • subworkflows/local/ — custom subworkflows
  • subworkflows/nf-core/ — installed subworkflows

3. Review Modules

  • modules/local/ — custom modules
  • modules/nf-core/ — installed nf-core modules

4. Understand Configuration

  • nextflow.config — main config
  • conf/base.config — resource defaults
  • conf/modules.config — module-specific config
  • conf/test.config — test profile

5. Check Supporting Files

  • nextflow_schema.json — parameter schema
  • assets/schema_input.json — samplesheet schema
  • lib/ — Groovy helpers
  • bin/ — custom scripts

Key Analysis Points

  • Workflow: Entry point, subworkflow includes, channel flow, conditional logic
  • Modules: Process definitions, I/O channels, containers, resource labels
  • Configuration: Param defaults, profiles, ext.args, resource allocation
  • Data Flow: Input channel creation, transformations, version collection

Response Format

  1. Overview: High-level pipeline purpose
  2. Structure: Directory and file organization
  3. Workflow Map: Main workflow and subworkflows
  4. Key Processes: Critical steps
  5. Configuration: Important params and profiles
  6. Data Flow: Input → output transformation

Important Notes

  • Read-only: Never suggest modifications during exploration
  • Be thorough: Check all relevant files before concluding
  • Reference lines: Point to specific file:line locations
  • Note conventions: Flag adherence or deviation from nf-core standards

Read the full file on GitHub · 68 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 68 lines · 50 tokens per session scan A d5af59d3e613

Subscribe to this mod's changes

pipeline-explorer is an agent published in the GitHub repository jonasscheid/claude-nfcore-plugin (10 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 560 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other agents, from other repositories

editor

Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].

pedrohcgs/claude-code-my-workflow · 64 tokens

Geoprocessing Specialist

ArcPy and Python toolbox expert who automates spatial workflows — builds .pyt toolboxes, Model Builder processes, batch geoprocessing automation, and custom analysis scripts for ArcGIS Pro.

SHAdd0WTAka/Zen-Ai-Pentest · 45 tokens

research-scout

Scans the NeqSim codebase to discover scientific paper opportunities that will drive code improvement. Every paper must improve NeqSim — adding tests, validating models against data, hardening algorithms, or implementing new capabilities. Produces ranked, actionable topics that feed into the planner agent.

equinor/neqsim · 61 tokens

algorithm-expert

RL algorithm expert. Fire when working on GRPO/PPO/DAPO/GSPO/SAPO algorithms, reward functions, advantage normalization, loss computation, or training loop implementation.

redai-infra/Relax · 37 tokens

mathodology-problem-analyst

Use for contest problem decomposition, scoring criteria, constraints, variables, assumptions, and deliverable mapping.

sweetcornna/mathodology · 29 tokens

astronomical-instrumentation-scientist

Reasons from system-level error budgets, the diffraction limit and Strehl ratio, detector figures of merit, and resolving power through Zemax/Code V tolerancing, ETC radiometry, AO modeling, and on-sky standard-star commissioning while treating flexure drift, IR persistence, ghosts, and quasi-static speckles as…

K-Dense-AI/scientific-agents · 78 tokens