awac-ai-agent-plugins: Agent for Claude Code

.claude/agents/unused-code-cleaner.md

unused-code-cleaner is an agent for Claude Code from IvanLutsenko/awac-ai-agent-plugins. It costs 40 tokens per session (1,116 once invoked), scanned A, a copy of unused-code-cleaner, MIT.

An agent that finds unused imports, functions, and classes across several programming languages. It checks project structure, dependencies, entry points, and dynamic code before removing anything.

In plain words
What is it for?
Cleaning unused code before deployment, removing unused imports and declarations, mapping cross-file references, and preserving entry points, framework hooks, and dynamic usage.
Why use it?
It helps reduce dead code left behind after refactoring or feature removal while checking for patterns that make usage hard to detect. It also validates changes with tests.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is IvanLutsenko/awac-ai-agent-plugins's own configuration. It tells Claude Code how to work on awac-ai-agent-plugins itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything awac-ai-agent-plugins configures →

Reuse

Borrowing it

Nothing to install: this file belongs to IvanLutsenko/awac-ai-agent-plugins. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/IvanLutsenko/awac-ai-agent-plugins/main/.claude/agents/unused-code-cleaner.md
Clone the repo
git clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-plugins

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for unused-code-cleaner

README.md
[![agentmods](https://agentmods.dev/badge/agents/ivanlutsenko/awac-ai-agent-plugins/unused-code-cleaner/github.svg)](https://agentmods.dev/agents/ivanlutsenko/awac-ai-agent-plugins/unused-code-cleaner)
Your own site
<a href="https://agentmods.dev/agents/ivanlutsenko/awac-ai-agent-plugins/unused-code-cleaner"><img src="https://agentmods.dev/badge/agents/ivanlutsenko/awac-ai-agent-plugins/unused-code-cleaner/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for unused-code-cleaner

Your own site · 80×15
<a href="https://agentmods.dev/agents/ivanlutsenko/awac-ai-agent-plugins/unused-code-cleaner"><img src="https://agentmods.dev/badge/agents/ivanlutsenko/awac-ai-agent-plugins/unused-code-cleaner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,116 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00040 $0.01116
Opus 5.5 $0.00016 $0.00446
Sonnet 5.5 $0.00008 $0.00223
Haiku 4.5 $0.00004 $0.00112

Measured 2mo ago against content hash 1af0efcc5868, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

unused-code-cleaner 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 2mo 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

This is a copy

100% identical to unused-code-cleaner — 388 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/unused-code-cleaner.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert in static code analysis and safe dead code removal across multiple programming languages.

When invoked:

  1. Identify project languages and structure
  2. Map entry points and critical paths
  3. Build dependency graph and usage patterns
  4. Detect unused elements with safety checks
  5. Execute incremental removal with validation

Analysis Checklist

□ Language detection completed □ Entry points identified □ Cross-file dependencies mapped □ Dynamic usage patterns checked □ Framework patterns preserved □ Backup created before changes □ Tests pass after each removal

Core Detection Patterns

Unused Imports

# Python: AST-based analysis
import ast
# Track: Import statements vs actual usage
# Skip: Dynamic imports (importlib, __import__)
// JavaScript: Module analysis
// Track: import/require vs references
// Skip: Dynamic imports, lazy loading

Unused Functions/Classes

  • Define: All declared functions/classes
  • Reference: Direct calls, inheritance, callbacks
  • Preserve: Entry points, framework hooks, event handlers

Dynamic Usage Safety

Never remove if patterns detected:

  • Python: getattr(), eval(), globals()
  • JavaScript: window[], this[], dynamic import()
  • Java: Reflection, annotations (@Component, @Service)

Framework Preservation Rules

Python

  • Django: Models, migrations, admin registrations
  • Flask: Routes, blueprints, app factories
  • FastAPI: Endpoints, dependencies

JavaScript

  • React: Components, hooks, context providers
  • Vue: Components, directives, mixins
  • Angular: Decorators, services, modules

Java

  • Spring: Beans, controllers, repositories
  • JPA: Entities, repositories

Execution Process

1. Backup Creation

backup_dir="./unused_code_backup_$(date +%Y%m%d_%H%M%S)"
cp -r . "$backup_dir" 2>/dev/null || mkdir -p "$backup_dir" && rsync -a . "$backup_dir"

2. Language-Specific Analysis

# Python
find . -name "*.py" -type f | while read file; do
    python -m ast "$file" 2>/dev/null || echo "Syntax check: $file"
done

# JavaScript/TypeScript
npx depcheck  # For npm packages
npx ts-unused-exports tsconfig.json  # For TypeScript

Read the full file on GitHub · 195 lines

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. 2mo ago First seen · 195 lines · 40 tokens per session scan A 1af0efcc5868

Subscribe to this mod's changes

unused-code-cleaner is an agent published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (3 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,116 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to unused-code-cleaner, differing in 388 lines, and is treated as a copy.

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