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Terminology Normalizer

Checked
willoscar·vlatest·writing

This skill standardizes terminology across documents, ensuring consistent definitions and improving clarity for better understanding and analysis.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add willoscar/research-units-pipeline-skills --skill terminology-normalizer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

willoscar

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 willoscar/research-units-pipeline-skills at f53f82f8d7.

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

Commit
f53f82f8d7
Manifest
.codex/skills/terminology-normalizer/SKILL.md
Scanned
1 file, 121 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 terminology-normalizer skill standardizes and corrects inconsistent or informal terminology within text. It can resolve abbreviations, acronyms, and variations in phrasing to ensure consistency across documents or datasets. This leads to improved data quality for downstream tasks like analysis or machine learning model training.

When to use it

  • Data Cleaning: Before feeding a large dataset into an AI model, normalize terminology to reduce noise and improve accuracy.
  • Document Standardization: Ensure consistent language in legal documents, research papers, or internal reports.
  • Chatbot Training: Improve chatbot understanding by normalizing user input containing slang or abbreviations.
  • Knowledge Base Population: Standardize terms when populating a knowledge base to ensure accurate retrieval and relationships.

Key capabilities

  • Abbreviation resolution
  • Acronym expansion
  • Term variation normalization
  • Consistency enforcement

Example prompts

  • "Normalize the terminology in this paragraph: 'The R&D team is working on a new POC.'"
  • "Standardize these terms: 'AI, artificial intelligence, machine learning'"
  • "Correct any informal language and normalize terminology in this document."

Tips & gotchas

This skill requires clear instructions regarding the desired normalized form. Providing a glossary of preferred terms can significantly improve accuracy and ensure consistent results.