refactor-cleaner

refactor-cleaner is an agent for coding agents from DekaPrayoga/AurixAgent. It costs 51 tokens per session (817 once invoked), scanned A, original, no licence file.

A code cleanup specialist that finds unused code, repeated code, and places where several parts can be combined. It uses analysis tools to identify code that may no longer be needed.

In plain words
What is it for?
Use it to remove unused files, functions, dependencies, and duplicate implementations, or to support a refactoring review.
Why use it?
It helps reduce clutter and duplication without removing code that the project still uses. Smaller, more consistent codebases are easier to maintain.

Agent

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 agents/dekaprayoga/aurixagent/refactor-cleaner
Clone the repo
git clone --depth 1 https://github.com/DekaPrayoga/AurixAgent
Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 817 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00051 $0.00817
Opus 5 $0.00026 $0.00409
Sonnet 5 $0.00010 $0.00163
Haiku 4.5 $0.00005 $0.00082

Measured 3d ago against content hash 91925f7f34da, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

refactor-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 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.

agents/refactor-cleaner.md · 95 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 95 lines · 51 tokens per session scan A 91925f7f34da

Subscribe to this mod's changes

refactor-cleaner is an agent published in the GitHub repository DekaPrayoga/AurixAgent (62 stars, last pushed 1mo ago), with no licence file. It adds 51 tokens to every session and 817 once invoked, about $0.0003 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.