tech-debt

A codebase review command that finds technical debt: code and design choices that make software harder to change, test, or maintain.

In plain words
What is it for?
Use it to locate duplicated or overly complex code, structural problems, and other maintenance risks, then plan what to fix first.
Why use it?
It turns scattered maintenance problems into an inventory with impact assessment, priorities, and suggested remediation work.

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/hermeticormus/claude-code-game-development/tech-debt
Clone the repo
git clone --depth 1 https://github.com/HermeticOrmus/claude-code-game-development
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,372 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 $0.00000 $0.02372
Opus 5 $0.00000 $0.01186
Sonnet 5 $0.00000 $0.00474
Haiku 4.5 $0.00000 $0.00237

Measured 3d ago against content hash bd2a670f5423, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tech-debt 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • tech-debt — 100% identical, 0 lines differ
plugins/code-refactoring/commands/tech-debt.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Debt Analysis and Remediation

You are a technical debt expert specializing in identifying, quantifying, and prioritizing technical debt in software projects. Analyze the codebase to uncover debt, assess its impact, and create actionable remediation plans.

Context

The user needs a comprehensive technical debt analysis to understand what's slowing down development, increasing bugs, and creating maintenance challenges. Focus on practical, measurable improvements with clear ROI.

Requirements

$ARGUMENTS

Instructions

1. Technical Debt Inventory

Conduct a thorough scan for all types of technical debt:

Code Debt

  • Duplicated Code

    • Exact duplicates (copy-paste)
    • Similar logic patterns
    • Repeated business rules
    • Quantify: Lines duplicated, locations
  • Complex Code

    • High cyclomatic complexity (>10)
    • Deeply nested conditionals (>3 levels)
    • Long methods (>50 lines)
    • God classes (>500 lines, >20 methods)
    • Quantify: Complexity scores, hotspots
  • Poor Structure

    • Circular dependencies
    • Inappropriate intimacy between classes
    • Feature envy (methods using other class data)
    • Shotgun surgery patterns
    • Quantify: Coupling metrics, change frequency

Architecture Debt

  • Design Flaws

    • Missing abstractions
    • Leaky abstractions
    • Violated architectural boundaries
    • Monolithic components
    • Quantify: Component size, dependency violations
  • Technology Debt

    • Outdated frameworks/libraries
    • Deprecated API usage
    • Legacy patterns (e.g., callbacks vs promises)
    • Unsupported dependencies
    • Quantify: Version lag, security vulnerabilities

Testing Debt

  • Coverage Gaps

    • Untested code paths
    • Missing edge cases
    • No integration tests
    • Lack of performance tests
    • Quantify: Coverage %, critical paths untested
  • Test Quality

    • Brittle tests (environment-dependent)
    • Slow test suites
    • Flaky tests
    • No test documentation
    • Quantify: Test runtime, failure rate

Read the full file on GitHub · 371 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. 3d ago First seen · 371 lines · 0 tokens per session scan A bd2a670f5423

Subscribe to this mod's changes

tech-debt is a command published in the GitHub repository HermeticOrmus/claude-code-game-development (58 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,372 tokens. 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.