tech-debt

tech-debt is a skill for Claude Code, Codex from JeremyDev87/codingbuddy. It costs 33 tokens per session (1,874 once invoked), scanned A, original, MIT.

Use when identifying, prioritizing, and planning resolution of technical debt. Provides structured assessment, ROI-based prioritization, and incremental paydown strategies.

Skill for Claude CodeCodex

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 skills/jeremydev87/codingbuddy/tech-debt
Any agent
npx skills add JeremyDev87/codingbuddy --skill tech-debt
Clone the repo
git clone --depth 1 https://github.com/JeremyDev87/codingbuddy

Made for: Claude Code, Codex.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeremydev87/codingbuddy/tech-debt.svg)](https://agentmods.dev/skills/jeremydev87/codingbuddy/tech-debt)
Your own site
<a href="https://agentmods.dev/skills/jeremydev87/codingbuddy/tech-debt"><img src="https://agentmods.dev/badge/skills/jeremydev87/codingbuddy/tech-debt.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,874 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.01874
Opus 5 $0.00016 $0.00937
Sonnet 5 $0.00007 $0.00375
Haiku 4.5 $0.00003 $0.00187

Measured today against content hash 29eb05b5605f, 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 today.

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.

packages/rules/.ai-rules/skills/tech-debt/SKILL.md · 226 lines

How it starts

The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tech Debt

Overview

Technical debt is borrowed time — the gap between the code you have and the code you need. Left unmanaged, it compounds interest: every new feature costs more, every bug takes longer to fix.

Core principle: Not all debt is equal. Pay down debt that blocks you, not debt that merely annoys you.

Iron Law:

MEASURE DEBT BEFORE PAYING IT. PRIORITIZE BY IMPACT, NOT BY DISCOMFORT.

When to Use

  • Sprint planning (decide which debt to pay down)
  • Before major feature work (assess what debt will slow you down)
  • After incidents (identify debt that contributed)
  • Quarterly tech health reviews
  • Before refactoring (use the refactoring skill after this one)

Types of Technical Debt

Type Example Urgency
Critical Security vulnerability, data loss risk Fix now
Architectural God class, circular dependencies Fix before next major feature
Code quality Duplicated logic, magic numbers Fix this quarter
Test debt Missing tests, brittle tests Fix this sprint
Documentation debt Outdated docs, missing docs Fix when touching code
Dependency debt Outdated packages, EOL dependencies Fix on cadence
Performance debt N+1 queries, memory leaks Fix when it hurts

The Assessment Process

Phase 1: Discover

Automated discovery:

# Code complexity
npx ts-complexity src/ --threshold 10

# Duplicate code
npx jscpd src/ --min-lines 5 --reporters console

# Test coverage gaps
npx jest --coverage

# Dependency age and CVEs
npm outdated
npm audit

# TODO/FIXME/HACK markers
grep -rn "TODO\|FIXME\|HACK\|XXX\|TEMP\|WORKAROUND" \
  --include="*.ts" --include="*.js" src/ | wc -l

Manual discovery checklist:

Architecture smells:
- [ ] Classes > 300 lines (God class)
- [ ] Functions > 30 lines (God function)
- [ ] Files with > 10 imports (high coupling)
- [ ] Circular dependencies
- [ ] Global mutable state

Code quality smells:
- [ ] Duplicate code blocks (> 5 lines, 2+ occurrences)
- [ ] Magic numbers/strings without constants
- [ ] Deep nesting (> 3 levels)
- [ ] Long parameter lists (> 4 params)
- [ ] Boolean traps (function(true, false, false))

Test smells:
- [ ] Test coverage < 80%
- [ ] Tests that always pass (no assertions)
- [ ] Tests that mock everything
- [ ] No integration tests
- [ ] Flaky tests

Read the full file on GitHub · 226 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. today First seen · 226 lines · 33 tokens per session scan A 29eb05b5605f

Subscribe to this mod's changes

tech-debt is a skill published in the GitHub repository JeremyDev87/codingbuddy (31 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 1,874 once invoked, about $0.0002 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 2026-09-03.

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