code-quality-plan-creator

A command that examines source files with language-server information and creates a plan for improving the code's architecture and quality. A language server provides code-aware information such as symbols and relationships.

In plain words
What is it for?
For reviewing individual files, groups of files, or glob patterns when planning maintainability, readability, performance, security, or other quality improvements.
Why use it?
It helps turn findings across one or more files into a structured improvement plan instead of relying only on surface-level text inspection.

Command

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 commands/gantisstorm/essentials-claude-code/code-quality-plan-creator
Clone the repo
git clone --depth 1 https://github.com/GantisStorm/essentials-claude-code
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 752 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 $0.00017 $0.00752
Opus 5 $0.00009 $0.00376
Sonnet 5 $0.00003 $0.00150
Haiku 4.5 $0.00002 $0.00075

Measured 2d ago against content hash d81d549262dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-quality-plan-creator 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 2d 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.

essentials/commands/code-quality-plan-creator.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architectural Code Quality Planning (LSP-Powered)

Analyze code quality using Claude Code's built-in LSP for semantic understanding. Generates architectural improvement plans.

Use the right tool:

  • Code quality improvements/code-quality-plan-creator (this command)
  • New features/enhancements/plan-creator
  • Bug fixes/bug-plan-creator

Arguments

File paths to analyze (one agent per file):

  • Single file: /code-quality-plan-creator src/services/auth_service
  • Multiple files: /code-quality-plan-creator src/agent src/hitl src/app
  • Glob pattern: /code-quality-plan-creator agent/*

Instructions

Step 1: Parse Input

Parse $ARGUMENTS to extract file list. Validate each path exists.

Step 2: Ask Clarifying Questions

Use AskUserQuestion to gather missing context. Ask only what's unclear — skip questions the user already answered in their input.

Questions to consider (ask 1-4 based on what's missing):

  • Focus: What kind of improvements matter most? (performance, readability, security, maintainability, all)
  • Constraints: Any patterns or conventions to enforce? Any refactoring that's off-limits?
  • Priority: Any known pain points or areas of concern in these files?
  • Exit criteria: How will we verify improvements? Specific lint rules, test commands, or benchmarks?

If the input is already detailed enough (clear files, obvious focus area), skip this step entirely and go straight to Step 3.

Step 3: Launch Agents

For EACH file, launch background agent with enriched context:

Analyze code quality: <file-path>

<clarifying context from user answers, if any>

REQUIRED Task tool parameters:

subagent_type: "essentials:code-quality-plan-creator-default"
run_in_background: true
prompt: "<assembled prompt with file path and context>"

Launch ALL agents in a single message for parallel execution. Output a status message like "Analyzing N files..." and end your turn. The system wakes you when agents finish.

Read the full file on GitHub · 92 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. 2d ago First seen · 92 lines · 17 tokens per session scan A d81d549262dd

Subscribe to this mod's changes

code-quality-plan-creator is a command published in the GitHub repository GantisStorm/essentials-claude-code (91 stars, last pushed 6mo ago), licensed Unlicense. It adds 17 tokens to every session and 752 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.