Agent skill

Terminology Normalizer

by WILLOSCAR in WILLOSCAR/research-units-pipeline-skills

Normalize terminology across a draft (canonical terms + synonym policy) without changing citations or meaning.

No licenceAuto-check passedResearch & Science

Install Terminology Normalizer

skills CLI
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill terminology-normalizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install WILLOSCAR/research-units-pipeline-skills terminology-normalizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/terminology-normalizer .claude/skills/terminology-normalizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
terminology-normalizer
GitHub stars
513
Token cost
~1.1k tokens
SKILL.md length
455 words
Files
1
Skills in repo
107
Repo updated
First seen
Licence
None found

At a glance

Normalize terminology across a draft (canonical terms + synonym policy) without changing citations or meaning.

  • Tasks that involve Citation management
  • SKILL.md covers Triggers & routing, Role cards (use explicitly), Role prompt: Terminology… and Inputs, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Terminology Normalizer is an agent skill from WILLOSCAR/research-units-pipeline-skills. Normalize terminology across a draft (canonical terms + synonym policy) without changing citations or meaning.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Citation management. The repository describes itself as: Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing…

When your agent uses it

  • Tasks that involve Citation management

Example prompts

  • “/terminology-normalizer”

What it can do on your machine

Read from SKILL.md and the folder at commit c92912a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Terminology Normalizer loads about 1.1k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 455 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 455 words (~1,070 tokens).

“Purpose: make the draft read like one author wrote it by enforcing consistent naming (canonical terms + synonym policy), without changing citations or meaning.”

— opening of SKILL.md by WILLOSCAR
name
terminology-normalizer
binding
library

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .codex/skills/terminology-normalizer of WILLOSCAR/research-units-pipeline-skills.

Open the folder on GitHubat commit c92912a

Compare with similar skills

Terminology Normalizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Terminology Normalizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Terminology Normalizer this skillWILLOSCAR/research-units-pipeline-skills513—~1.1kAutomated safety check: PassNone
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
NetworkxzLanqing/codex-claude-academic-skills4.7k15 repos~3.2kAutomated safety check: PassBSD-3-Clause
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence

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  • Chapter Lead Writer

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Questions about Terminology Normalizer

What does Terminology Normalizer do?

Normalize terminology across a draft (canonical terms + synonym policy) without changing citations or meaning. Terminology Normalizer is an agent skill from WILLOSCAR/research-units-pipeline-skills. Normalize terminology across a draft (canonical terms + synonym policy) without changing citations or meaning.

When should I use Terminology Normalizer?

Terminology Normalizer fits situations like: tasks that involve Citation management.

How do I install Terminology Normalizer in Claude Code?

Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill terminology-normalizer -a claude-code`. Or copy the skill folder (.codex/skills/terminology-normalizer in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/terminology-normalizer in your project. Claude Code loads it when a task matches its description.

How do I install Terminology Normalizer in Codex?

Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill terminology-normalizer -a codex`. Or copy the skill folder (.codex/skills/terminology-normalizer in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/terminology-normalizer in your project. Codex loads it when a task matches its description.

Can I use Terminology Normalizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill terminology-normalizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/terminology-normalizer, .gemini/skills/terminology-normalizer, .github/skills/terminology-normalizer and .opencode/skills/terminology-normalizer in your project.

What does Terminology Normalizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Terminology Normalizer is instructions for the agent only.

Does Terminology Normalizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Terminology Normalizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Terminology Normalizer use?

No licence was found for Terminology Normalizer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Terminology Normalizer use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Terminology Normalizer?

Skills that share tags, products or a category with Terminology Normalizer: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.7k stars) and Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Terminology Normalizer?

WILLOSCAR (a GitHub user) maintains it in WILLOSCAR/research-units-pipeline-skills, which has 513 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 5, 2026.

Source: WILLOSCAR/research-units-pipeline-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.