Pull and clean structured lists from a GitHub repository

The system fetches text files from a repository, splits them line by line, and cleans up each entry automatically.

How the work actually flows

A straight line. Runs once per one per line.

Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(("user starts list pull")):::human s0["fetch repository text files"]:::svc s1["split files into lines"]:::task s2[["clean each line"]]:::mi s3["return standardized list"]:::task trig --> s0 s0 --> s1 s1 -->|"one per one per line"| s2 s2 --> s3 out[/"clean standardized reference list"/]:::out pay{{"no more manual list cleanup"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceRuns once per itemA personResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Document Processing & OCR
Connects
GitHub

The problem it solves

You maintain a reference list, like a blocklist or hostname directory, that lives in a shared code repository, and every update means opening files, copying entries, and cleaning up formatting by hand. It's tedious, and it's easy to introduce a typo that breaks something downstream.

Who it fits

IT or network administrators who maintain reference lists stored in a shared repository.

How it works

  1. The process starts and pulls all text files from the target repository
  2. Each file's contents are split into individual lines
  3. Every line is cleaned up and standardized automatically
  4. You receive a ready-to-use, sanitized list
What you get

Reference lists cleaned and ready to use

You get a clean, standardized list pulled straight from your repository's files, split out and ready for whatever process needs it.

What you get

A clean, standardized list pulled straight from your repository.

What you need

A GitHub account with access to the target repository.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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