improve-codebase-architecture

improve-codebase-architecture is a skill for Claude Code from saitarrun/Sdlc-ai-workflow. It costs 68 tokens per session (1,467 once invoked), scanned A, original, no licence file.

A guide for finding ways to improve a codebase’s structure, using its domain terms and recorded architecture decisions. It focuses on refactoring, reducing tightly connected modules, improving testability, and making the code easier for AI tools to navigate.

In plain words
What is it for?
Use it to find refactoring opportunities, consolidate tightly coupled modules, improve architecture, make code more testable, or make it easier for AI tools to work with.
Why use it?
It helps reveal structural changes that can make a codebase easier to change, test, and understand.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sdlc-workflow plugin — 44 skills, 15 commands, 26 agents shipped together

Good fit Use it to find refactoring opportunities, consolidate tightly coupled modules, improve architecture, make code more testable, or make it easier for AI tools to work with.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/saitarrun/sdlc-ai-workflow/skill-architecture-refactor
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.

Any agent
npx skills add saitarrun/Sdlc-ai-workflow --skill skill-architecture-refactor
Clone the repo
git clone --depth 1 https://github.com/saitarrun/Sdlc-ai-workflow

Made for: Claude Code.

Or install sdlc-workflow, the plugin that ships this one along with the rest of its 44 skills, 15 commands, 26 agents.

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 improve-codebase-architecture

README.md
[![agentmods](https://agentmods.dev/badge/skills/saitarrun/sdlc-ai-workflow/skill-architecture-refactor/github.svg)](https://agentmods.dev/skills/saitarrun/sdlc-ai-workflow/skill-architecture-refactor)
Your own site
<a href="https://agentmods.dev/skills/saitarrun/sdlc-ai-workflow/skill-architecture-refactor"><img src="https://agentmods.dev/badge/skills/saitarrun/sdlc-ai-workflow/skill-architecture-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 improve-codebase-architecture

Your own site · 80×15
<a href="https://agentmods.dev/skills/saitarrun/sdlc-ai-workflow/skill-architecture-refactor"><img src="https://agentmods.dev/badge/skills/saitarrun/sdlc-ai-workflow/skill-architecture-refactor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,467 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 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 5.1 $0.00068 $0.01467
Opus 5.5 $0.00027 $0.00587
Sonnet 5.5 $0.00014 $0.00293
Haiku 4.5 $0.00007 $0.00147

Measured 1mo ago against content hash f00de04c7bb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

improve-codebase-architecture 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 1mo 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.

skills/skill-architecture-refactor/SKILL.md · 82 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. 1mo ago First seen · 82 lines · 68 tokens per session scan A f00de04c7bb8

Subscribe to this mod's changes

improve-codebase-architecture is a skill published in the GitHub repository saitarrun/Sdlc-ai-workflow (5 stars, last pushed 1mo ago), with no licence file. It adds 68 tokens to every session and 1,467 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

technical-debt-analyzer

Detect and analyze areas with high maintenance cost, poor design, or accumulated technical debt. Use this skill when reviewing codebases for quality issues, planning refactoring efforts, conducting code audits, assessing project health, identifying maintenance hotspots, or prioritizing technical improvements. Analyzes…

ArabelaTso/Skills-4-SE · 83 tokens

code-smell-detector

Identify and report code smells indicating poor design or maintainability issues in Python code, including duplicate code, magic numbers, hardcoded values, God classes, feature envy, inappropriate intimacy, data clumps, primitive obsession, and long parameter lists. Use when conducting code quality audits, preparing…

ArabelaTso/Skills-4-SE · 129 tokens

code-review-assistant

Conduct comprehensive code reviews identifying bugs, security issues, performance problems, code quality concerns, and best practice violations. Use when reviewing pull requests, examining code changes, evaluating new code, assessing code quality, or providing feedback on implementations. Analyzes code for…

ArabelaTso/Skills-4-SE · 125 tokens

design-smell-detector

Identify design quality issues in code including high coupling, low cohesion, God classes, long methods, and other code smells. Use when: (1) Reviewing code architecture and design quality, (2) Identifying refactoring opportunities, (3) Detecting God classes or classes with too many responsibilities, (4) Finding high…

ArabelaTso/Skills-4-SE · 114 tokens

github-triage

Unified GitHub triage for issues AND PRs. Classifies open items, answers questions from codebase, analyzes bugs, reviews PRs, and produces a structured triage report. Triggers: 'triage', 'triage issues', 'triage PRs', 'github triage'.

ArabelaTso/Skills-4-SE · 65 tokens

critical-interval-security-checker

Analyzes code to identify security-critical time intervals and timing vulnerabilities in authentication, authorization, and time-sensitive security operations. Use this skill when reviewing code for proper timeout enforcement, token expiration, session management, rate limiting, password reset validity, or any…

ArabelaTso/Skills-4-SE · 123 tokens