tech-debt-analyzer

tech-debt-analyzer is a skill for Claude Code from wyattowalsh/agents. It costs 39 tokens per session (2,329 once invoked), scanned A, original, MIT.

A tool for cataloguing technical debt: problems such as overly complex code, unused code, inconsistent patterns, stale dependencies, and missing tests or documentation. Technical debt is work that makes future changes harder or riskier.

In plain words
What is it for?
Use it to inventory debt, analyse code complexity and dead code, track debt over time, and plan fixes. It does not perform refactoring or code review.
Why use it?
It turns scattered maintenance problems into a prioritised list with evidence, confidence, severity, and suggested remediation.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: model in frontmatter; mentions Codex.

Part of the agents plugin — 71 skills, 20 agents, 5 hooks shipped together

Good fit Use it to inventory debt, analyse code complexity and dead code, track debt over time, and plan fixes. It does not perform refactoring or code review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wyattowalsh/agents/tech-debt-analyzer
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 wyattowalsh/agents --skill tech-debt-analyzer
Clone the repo
git clone --depth 1 https://github.com/wyattowalsh/agents

Made for: Claude Code.

Or install agents, the plugin that ships this one along with the rest of its 71 skills, 20 agents, 5 hooks.

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 tech-debt-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/wyattowalsh/agents/tech-debt-analyzer/github.svg)](https://agentmods.dev/skills/wyattowalsh/agents/tech-debt-analyzer)
Your own site
<a href="https://agentmods.dev/skills/wyattowalsh/agents/tech-debt-analyzer"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/tech-debt-analyzer/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 tech-debt-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/wyattowalsh/agents/tech-debt-analyzer"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/tech-debt-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,329 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 $0.00039 $0.02329
Opus 5.5 $0.00016 $0.00932
Sonnet 5.5 $0.00008 $0.00466
Haiku 4.5 $0.00004 $0.00233

Measured 1mo ago against content hash c4f0690bfb15, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tech-debt-analyzer 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.

The scan reads SKILL.md. This mod also ships 12 executable files (scripts/asset_toolkit/__init__.py, scripts/asset_toolkit/_shared.py, scripts/asset_toolkit/common.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/tech-debt-analyzer/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tech Debt Analyzer

Systematic technical debt inventory, prioritization, and remediation planning. Multi-pass analysis with confidence scoring and evidence-based findings.

Scope: Debt inventory and tracking only. NOT for code review (review), refactoring execution, or dependency updates.

Canonical Vocabulary

Term Definition
debt item A discrete tech debt finding with category, severity, confidence, and evidence
category Debt classification: design, test, documentation, dependency, infrastructure
severity Impact level: CRITICAL, HIGH, MEDIUM, LOW
confidence Score 0.0-1.0 per item; >=0.7 report, 0.3-0.7 flag, <0.3 discard
complexity Cyclomatic (decision paths) or cognitive (human comprehension difficulty)
dead code Functions, classes, or imports with no references in the codebase
staleness Days since a dependency's current version was superseded
inconsistency Same pattern implemented differently across files
remediation Specific fix action with effort estimate and risk level
debt score Aggregate metric: sum of (severity_weight x confidence) across all items
baseline Previous scan stored at ~/.{gemini
heatmap Visual density of debt items per file or directory
risk x effort Prioritization matrix: impact vs. remediation cost

Dispatch

$ARGUMENTS Mode
scan or scan <path> Full codebase debt inventory (or scoped to path)
analyze <file/dir> Targeted deep analysis of specific file or directory
prioritize Rank all debt items by risk x effort matrix
roadmap Generate phased remediation plan
report Render dashboard visualization
track Compare current scan against previous baseline
Empty Show mode menu with descriptions and examples

Mode: Scan

Full codebase debt inventory. Run all 4 analysis scripts, aggregate results, assign categories and severities.

Read the full file on GitHub · 206 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. 1mo ago First seen · 206 lines · 39 tokens per session scan A c4f0690bfb15

Subscribe to this mod's changes

tech-debt-analyzer is a skill published in the GitHub repository wyattowalsh/agents (5 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 2,329 once invoked, about $0.0002 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 2026-09-03.

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