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Csv Processor

Checked
cleanexpo·vlatest·data·MIT

Extracts, transforms, and analyzes data from CSV files to generate reports and refine written content.

Repository

Install on your platform

This skill no longer installs under the name csv-processor. cleanexpo/nodejs-starter-v1 is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

cleanexpo

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned cleanexpo/nodejs-starter-v1 at 7b45925bd4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7b45925bd4
Manifest
.skills/custom/csv-processor/SKILL.md
Scanned
1 file, 468 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The csv-processor skill allows AI agents to read, parse, and manipulate data stored in CSV (Comma Separated Values) files. It can extract specific columns, filter rows based on criteria, and perform basic calculations on numerical data within the CSV. This enables automated analysis and transformation of tabular data for various tasks.

When to use it

  • Data Extraction: Automatically pull relevant information from a large CSV file containing customer orders, like extracting order dates and product names.
  • Report Generation: Process sales data in a CSV format to generate summary reports with key metrics such as total revenue or average order value.
  • Data Cleaning: Identify and correct inconsistencies or errors within a CSV dataset, such as standardizing date formats or removing duplicate entries.
  • Import/Export: Facilitate the import of data from external CSV sources into an application or export processed data to a new CSV file.

Key capabilities

  • CSV File Reading
  • Data Parsing and Extraction
  • Row Filtering based on criteria
  • Column Selection
  • Basic Numerical Calculations

Example prompts

  • "Read the 'sales_data.csv' file and extract the columns 'Date', 'Product', and 'Revenue'."
  • "Filter rows from 'customer_orders.csv' where the order total is greater than $100."
  • “Calculate the average price of products listed in ‘product_catalog.csv’."

Tips & gotchas

The skill requires access to the CSV file being processed. Ensure the AI agent has appropriate permissions and a clear path to locate the desired CSV files.