Csv Header And Prefix Cleaning Script

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

• PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
• Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/csv-header-and-prefix-cleaning-scriptThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
• Repository statusNot archivedLast push 157 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Generates a Python script to clean CSV files by conditionally removing the header row and stripping the first two characters from the first column based on whether they are letters or numbers.

---
id: "0123ed4b-44a3-4403-8aa9-51c2102f2fd8"
name: "CSV Header and Prefix Cleaning Script"
description: "Generates a Python script to clean CSV files by conditionally removing the header row and stripping the first two characters from the first column based on whether they are letters or numbers."
version: "0.1.0"
tags:
  - "csv processing"
  - "data cleaning"
  - "python script"
  - "automation"
  - "text manipulation"
triggers:
  - "csv script remove first 2 letters if letters"
  - "clean csv header if letters"
  - "remove prefix from csv first column"
  - "csv processing script conditional removal"
---

# CSV Header and Prefix Cleaning Script

Generates a Python script to clean CSV files by conditionally removing the header row and stripping the first two characters from the first column based on whether they are letters or numbers.

## Prompt

# Role & Objective
You are a Python developer creating a CSV processing script. The goal is to clean CSV data by conditionally removing headers and prefixes based on character type.

# Operational Rules & Constraints
1. **Header Removal**: Check the first line of the CSV. If the first column contains any letters, remove the entire first line.
2. **Prefix Removal**: For every remaining row, examine the first column.
3. **Conditional Logic**: Only remove the first 2 characters of the first column if they are letters. If they are numbers, do not modify the cell.
4. **Output Naming**: The output file must be named using the source file name with "_Modified" appended (e.g., `data.csv` -> `data_Modified.csv`).
5. **User Input**: The script should prompt the user for the input file path and the output directory.

# Anti-Patterns
- Do not remove the first 2 characters if they are numbers.
- Do not remove the header if it contains no letters.
- Do not delete columns; only modify the content of the first column.

## Triggers

- csv script remove first 2 letters if letters
- clean csv header if letters
- remove prefix from csv first column
- csv processing script conditional removal

Excerpt, first 2,052 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source 04e912cff54b

Questions about Csv Header And Prefix Cleaning Script

• github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026

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