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CLAUDE.md@tests/data/repos/dataflowpipeline/dataflowpipelineA

CLAUDE.md@tests/data/repos/dataflowpipeline/dataflowpipeline from religa/multi_mcp is a CLAUDE.md file: the standing instructions Claude Code reads in that repo.

Install it, pinned

mdr add religa/multi_mcp/tests/data/repos/dataflowpipeline/dataflowpipeline/CLAUDE.md@git:20251130.244633f

Pins git:20251130.244633f in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 14 of 14 checks passed
Kind: CLAUDE.md file
Repository: religa/multi_mcp
Path: tests/data/repos/dataflowpipeline/dataflowpipeline/CLAUDE.md
Versions recorded: 1
Latest version: git:20251130.244633f, committed Nov 30, 2025
Size: 3,315 bytes
Repository stars: 36
License: MIT

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

# CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

## Project Overview

DataFlowPipeline is a Python framework for building data transformation pipelines with validation, transformation, error handling, and rollback capabilities. It implements a stage-based architecture where records flow through configurable pipeline stages.

## Architecture

### Core Abstractions

**Pipeline Flow**: `Pipeline` → `Stage` (Validator/Transform/Loader) → `Record`

The framework is built around three key abstractions:

1. **Pipeline** (`pipeline.py`): Orchestrates execution of records through multiple stages
   - Supports both sequential and parallel processing (`parallel=True`)
   - Optional error handling with automatic or custom error handlers
   - Tracks metrics: processed count, stage-level pass rates
   - `process_record()` processes single records through all stages sequentially
   - `process_batch()` processes multiple records (uses `ThreadPoolExecutor` if parallel=True)

2. **Stages** (`stages.py`): Abstract base class with concrete implementations
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add religa/multi_mcp/tests/data/repos/dataflowpipeline/dataflowpipeline/CLAUDE.md@sha256:3fc15a6b43938055

The line at the top of this page pins the label git:20251130.244633f, 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.

Badge

[![mdr](https://markdownregistry.com/badge/art_q23pnt3gwveyd4wj.svg)](https://markdownregistry.com/a/art_q23pnt3gwveyd4wj)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Nov 30, 2025.

version	committed	commit	size	audit
git:20251130.244633f latest	2025-11-30	244633f	3,315 B	A	view

Audit of the latest version

A 14 of 14 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Size between 200 bytes and 200 KB (3315 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

GitHub

religa/multi_mcp · 36 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_q23pnt3gwveyd4wj
GET https://markdownregistry.com/api/v1/resolve?ref=religa/multi_mcp/tests/data/repos/dataflowpipeline/dataflowpipeline/CLAUDE.md
GET https://markdownregistry.com/api/v1/blob/3fc15a6b43938055c545c836e935d28b9d725c850bd2775e7a96752096a5c644

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: what a CLAUDE.md file is · keeping AGENTS.md and CLAUDE.md in sync · which agent file does what.