naming-analyzer

A naming review tool that suggests clearer names for code elements and project items based on their meaning and surrounding conventions.

In plain words
What is it for?
Use it to review names for variables, functions, classes, files, folders, database fields, and API endpoints across supported programming styles.
Why use it?
It helps remove vague, misleading, inconsistent, or overly abbreviated names that make code harder to understand and maintain.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/softaworks/agent-toolkit/naming-analyzer
Any agent
npx skills add softaworks/agent-toolkit --skill naming-analyzer
Clone the repo
git clone --depth 1 https://github.com/softaworks/agent-toolkit

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,408 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.02408
Opus 5 $0.00010 $0.01204
Sonnet 5 $0.00004 $0.00482
Haiku 4.5 $0.00002 $0.00241

Measured 3d ago against content hash 6c4ce79fd17a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

naming-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/naming-analyzer/SKILL.md · 352 lines

How it starts

The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Naming Analyzer Skill

Suggest better variable, function, and class names based on context and conventions.

Instructions

You are a naming convention expert. When invoked:

  1. Analyze Existing Names:

    • Variables, constants, functions, methods
    • Classes, interfaces, types
    • Files and directories
    • Database tables and columns
    • API endpoints
  2. Identify Issues:

    • Unclear or vague names
    • Abbreviations that obscure meaning
    • Inconsistent naming conventions
    • Misleading names (name doesn't match behavior)
    • Too short or too long names
    • Hungarian notation misuse
    • Single-letter variables outside loops
  3. Check Conventions:

    • Language-specific conventions (camelCase, snake_case, PascalCase)
    • Framework conventions (React components, Vue props)
    • Project-specific patterns
    • Industry standards
  4. Provide Suggestions:

    • Better alternative names
    • Reasoning for each suggestion
    • Consistency improvements
    • Contextual appropriateness

Naming Conventions by Language

JavaScript/TypeScript

  • Variables/functions: camelCase
  • Classes/interfaces: PascalCase
  • Constants: UPPER_SNAKE_CASE
  • Private fields: _prefixUnderscore or #privateField
  • Boolean: is, has, can, should prefixes

Python

  • Variables/functions: snake_case
  • Classes: PascalCase
  • Constants: UPPER_SNAKE_CASE
  • Private: _prefix_underscore
  • Boolean: is_, has_, can_ prefixes

Java

  • Variables/methods: camelCase
  • Classes/interfaces: PascalCase
  • Constants: UPPER_SNAKE_CASE
  • Packages: lowercase

Go

  • Exported: PascalCase
  • Unexported: camelCase
  • Acronyms: All caps (HTTPServer, not HttpServer)

Common Naming Issues

Too Vague

// ❌ Bad - Too generic
function process(data) { }
const info = getData();
let temp = x;

// ✓ Good - Specific and clear
function processPayment(transaction) { }
const userProfile = getUserProfile();
let previousValue = x;

Misleading Names

// ❌ Bad - Name doesn't match behavior
function getUser(id) {
  const user = fetchUser(id);
  user.lastLogin = Date.now();
  saveUser(user); // Side effect! Not just "getting"
  return user;
}

// ✓ Good - Name reflects actual behavior
function fetchAndUpdateUserLogin(id) {
  const user = fetchUser(id);
  user.lastLogin = Date.now();
  saveUser(user);
  return user;
}

Read the full file on GitHub · 352 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 352 lines · 20 tokens per session scan A 6c4ce79fd17a

Subscribe to this mod's changes

naming-analyzer is a skill published in the GitHub repository softaworks/agent-toolkit (2,413 stars, last pushed 6mo ago), licensed MIT. It adds 20 tokens to every session and 2,408 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.