Borrowing it
Nothing to install: this file belongs to zenml-io/skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zenml-io/skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/zenml-io/skillsWrote 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.
[](https://agentmods.dev/instructions/zenml-io/skills/claude-md)<a href="https://agentmods.dev/instructions/zenml-io/skills/claude-md"><img src="https://agentmods.dev/badge/instructions/zenml-io/skills/claude-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02070 | $0.02070 |
| Opus 5 | $0.01035 | $0.01035 |
| Sonnet 5 | $0.00414 | $0.00414 |
| Haiku 4.5 | $0.00207 | $0.00207 |
Grade A, and why
skills CLAUDE.md 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Repository Purpose
This is the ZenML Skills Marketplace — a collection of modular AI coding agent skills for ZenML workflows. Skills are plugins that guide developers through implementing ZenML features like metadata logging, experiment tracking, pipeline architecture scoping, and pipeline authoring.
Current Plugins
| Plugin | Description |
|---|---|
zenml-quick-wins |
Guided implementation of ZenML MLOps best practices (metadata, experiment tracking, alerters, scheduling, secrets, Model Control Plane) |
zenml-scoping |
Scope and decompose ML workflow ideas into realistic ZenML pipeline architectures via an interview process |
zenml-pipeline-authoring |
Author ZenML pipelines with steps, artifacts, Docker settings, materializers, YAML config, and more |
zenml-airflow-migration |
Migrate Apache Airflow DAGs to idiomatic ZenML pipelines with concept mapping, code translation, and unsupported pattern flagging |
zenml-argo-migration |
Migrate Argo Workflows to idiomatic ZenML pipelines with concept mapping, code translation, Kubernetes-native pattern flagging, and redesign guidance |
zenml-databricks-migration |
Migrate Databricks Workflows (Lakeflow Jobs) to idiomatic ZenML pipelines with notebook refactoring, concept mapping, code translation, and unsupported pattern flagging |
zenml-prefect-migration |
Migrate Prefect flows and workflows to idiomatic ZenML pipelines with concept mapping, dynamic-execution analysis, code translation, and unsupported pattern flagging |
zenml-azureml-migration |
Migrate Azure Machine Learning SDK v2 pipelines to idiomatic ZenML pipelines with concept mapping, Azure-aware compute translation, code patterns, and unsupported pattern flagging |
zenml-dagster-migration |
Migrate Dagster assets, ops, jobs, and asset-graph workflows to idiomatic ZenML pipelines with concept mapping, pipeline-boundary planning, code translation, and unsupported pattern flagging |
zenml-flyte-migration |
Migrate Flyte workflows, tasks, and LaunchPlans to idiomatic ZenML pipelines with concept mapping, special-type planning, code translation, and unsupported pattern flagging |
zenml-kedro-migration |
Migrate Kedro pipelines and projects to idiomatic ZenML pipelines with Data Catalog to artifact translation, concept mapping, code translation, and unsupported pattern flagging |
zenml-metaflow-migration |
Migrate Metaflow flows to idiomatic ZenML pipelines with FlowSpec mapping, artifact translation, control-flow redesign notes, and unsupported pattern flagging |
zenml-sagemaker-migration |
Migrate Amazon SageMaker Pipelines to idiomatic ZenML pipelines with concept mapping, artifact-model rewrites, runtime-setting translation, and unsupported pattern flagging |
zenml-vertexai-migration |
Migrate Vertex AI Pipelines (KFP v2 / PipelineJob workflows) to idiomatic ZenML pipelines with concept mapping, artifact-contract translation, GCPC rewrite guidance, and unsupported pattern flagging |
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.
- 6d ago First seen · 235 lines · 2,070 tokens per session scan A 2a29f14addc4
skills CLAUDE.md is an instructions file published in the GitHub repository zenml-io/skills (6 stars, last pushed 2mo ago), licensed MIT. It adds 2,070 tokens to every session, about $0.0103 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.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.