Compare Csv
CheckedQuickly analyze and highlight differences between two CSV files based on specified columns using SnapLogic's compare-csv skill.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add snaplogic/snaplogic-robotframework-examples --skill compare-csv -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
snaplogic
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.
Automated safety checks
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 snaplogic/snaplogic-robotframework-examples at b910cd1309.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- b910cd1309
- Scanned
- 2 files, 432 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill, compare-csv, allows you to compare two CSV files and identify differences between them. It's designed for data validation and quality assurance tasks where discrepancies need to be highlighted. The tool can pinpoint rows that are added, removed, or modified across the compared datasets.
When to use it
- Data Migration Validation: After migrating data from one system to another, verify that all records were transferred correctly.
- A/B Testing Analysis: Compare CSV files representing different versions of a dataset used in A/B tests to assess impact.
- Report Generation Consistency: Ensure consistency between reports generated at different times by comparing their underlying CSV data sources.
- Data Quality Checks: Regularly compare datasets to identify and correct errors or inconsistencies that may have arisen over time.
Key capabilities
- CSV file comparison
- Identification of added rows
- Identification of removed rows
- Identification of modified rows
Example prompts
- "Compare these two CSV files:
file1.csvandfile2.csv." - "Show me the differences between
sales_data_january.csvandsales_data_february.csv." - “Can you tell me which rows were added to
customer_list_v2.csvcompared tocustomer_list_v1.csv?”
Tips & gotchas
The skill requires access to the CSV files being compared; ensure the AI agent has appropriate permissions and paths to these files. The accuracy of the comparison depends on the structure and consistency of the CSV files (e.g., consistent headers).