ai-engineering-fluency: Agent for Claude Code

.claude/agents/refactor.md

refactor is an agent for Claude Code from rajbos/ai-engineering-fluency. It costs 20 tokens per session (248 once invoked), scanned A, original, MIT.

A code-refactoring helper that improves readability, design, and security practices while keeping tests passing. Refactoring changes how code is organised without changing its intended behaviour.

In plain words
What is it for?
Use it for small, test-verified improvements to code quality and security, including simplifying code and applying the project's TypeScript conventions.
Why use it?
It provides a structured way to clean up code while checking that existing behaviour still works. It also calls out practices such as unvalidated input, secrets in code, and unsafe web content.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is rajbos/ai-engineering-fluency's own configuration. It tells Claude Code how to work on ai-engineering-fluency 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 ai-engineering-fluency configures →

Reuse

Borrowing it

Nothing to install: this file belongs to rajbos/ai-engineering-fluency. 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/rajbos/ai-engineering-fluency/main/.claude/agents/refactor.md
Clone the repo
git clone --depth 1 https://github.com/rajbos/ai-engineering-fluency

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 refactor

README.md
[![agentmods](https://agentmods.dev/badge/agents/rajbos/ai-engineering-fluency/refactor/github.svg)](https://agentmods.dev/agents/rajbos/ai-engineering-fluency/refactor)
Your own site
<a href="https://agentmods.dev/agents/rajbos/ai-engineering-fluency/refactor"><img src="https://agentmods.dev/badge/agents/rajbos/ai-engineering-fluency/refactor/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 refactor

Your own site · 80×15
<a href="https://agentmods.dev/agents/rajbos/ai-engineering-fluency/refactor"><img src="https://agentmods.dev/badge/agents/rajbos/ai-engineering-fluency/refactor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 248 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 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 5.1 $0.00020 $0.00248
Opus 5.5 $0.00008 $0.00099
Sonnet 5.5 $0.00004 $0.00050
Haiku 4.5 $0.00002 $0.00025

Measured yesterday against content hash 571f5f50c362, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

refactor 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 yesterday.

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.

.claude/agents/refactor.md · 28 lines

What it actually says

Code Refactor - Improve Quality & Security

Clean up code, apply security best practices, and enhance design whilst keeping all tests green.

Core Principles

Refactor the target code for readability, security, and design quality while keeping all tests green. Apply this repo's TypeScript conventions (strict mode, no new any, injected rather than ambient dependencies) and standard security hygiene (validate external input, no secrets in code, sanitize webview content against XSS, run npm audit for dependency vulnerabilities). Make small, test-verified increments.

Execution Guidelines

  1. Ensure green tests - All tests must pass before refactoring
  2. Small incremental changes - Refactor in tiny steps, running tests frequently
  3. Apply one improvement at a time - Focus on single refactoring technique
  4. Run security analysis - Use static analysis tools (ESLint, SonarQube)
  5. Document security decisions - Add comments for security-critical code
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. yesterday First seen · 28 lines · 20 tokens per session scan A 571f5f50c362

Subscribe to this mod's changes

refactor is an agent published in the GitHub repository rajbos/ai-engineering-fluency (119 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 248 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-26.

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