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.
npx skills add Morningstar202604/awesome-skillkit --skill tech-debt-trackergit clone --depth 1 https://github.com/Morningstar202604/awesome-skillkitWrote 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.
[](https://agentmods.dev/skills/morningstar202604/awesome-skillkit/tech-debt-tracker)<a href="https://agentmods.dev/skills/morningstar202604/awesome-skillkit/tech-debt-tracker"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/tech-debt-tracker/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.
<a href="https://agentmods.dev/skills/morningstar202604/awesome-skillkit/tech-debt-tracker"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/tech-debt-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.01028 |
| Opus 5 | $0.00032 | $0.00514 |
| Sonnet 5 | $0.00013 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
tech-debt-tracker 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 9d 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.
This is a copy
89% identical to tech-debt-tracker — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tech Debt Tracker
Tier: POWERFUL 🔥
Category: Engineering Process Automation
Expertise: Code Quality, Technical Debt Management, Software Engineering
Overview
Tech debt is one of the most insidious challenges in software development - it compounds over time, slowing down development velocity, increasing maintenance costs, and reducing code quality. This skill provides a comprehensive framework for identifying, analyzing, prioritizing, and tracking technical debt across codebases.
Tech debt isn't just about messy code - it encompasses architectural shortcuts, missing tests, outdated dependencies, documentation gaps, and infrastructure compromises. Like financial debt, it accrues "interest" through increased development time, higher bug rates, and reduced team velocity.
What This Skill Provides
This skill offers three interconnected tools that form a complete tech debt management system:
- Debt Scanner - Automatically identifies tech debt signals in your codebase
- Debt Prioritizer - Analyzes and prioritizes debt items using cost-of-delay frameworks
- Debt Dashboard - Tracks debt trends over time and provides executive reporting
Together, these tools enable engineering teams to make data-driven decisions about tech debt, balancing new feature development with maintenance work.
Quick Start — scan → prioritize → dashboard
All paths relative to this skill folder. The scanner's JSON output feeds the prioritizer directly; dated inventory snapshots feed the dashboard.
1. Scan the codebase
python3 scripts/debt_scanner.py /path/to/codebase --format json --output debt_inventory.json
Emits debt_inventory.json with scan_metadata, summary, debt_items[], file_statistics, and recommendations. Report the summary counts to the user. (Dry run: assets/sample_codebase.)
2. Prioritize the backlog
python3 scripts/debt_prioritizer.py debt_inventory.json --framework wsjf --team-size 6 --sprint-capacity 20 --format json --output debt_priorities.json
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/historical_debt_2024-01-15.json 8.0 KB
- assets/historical_debt_2024-02-01.json 6.4 KB
- assets/sample_codebase/src/frontend.js 15 KB runs code
- assets/sample_codebase/src/payment_processor.py 13 KB runs code
- assets/sample_codebase/src/user_service.py 9.3 KB runs code
- assets/sample_debt_inventory.json 7.6 KB
- expected_outputs/sample_dashboard_output.json 5.2 KB
- expected_outputs/sample_prioritization_output.json 45 KB
- expected_outputs/sample_scan_output.json 57 KB
- README.md 9.3 KB
- references/debt-classification-taxonomy.md 10 KB
- references/debt-frameworks.md 14 KB
- references/prioritization-framework.md 11 KB
- references/stakeholder-communication-templates.md 13 KB
- scripts/debt_dashboard.py 40 KB runs code
- scripts/debt_prioritizer.py 34 KB runs code
- scripts/debt_scanner.py 26 KB runs code
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.
- 9d ago First seen · 93 lines · 63 tokens per session scan A 61029ba848ac
tech-debt-tracker is a skill published in the GitHub repository Morningstar202604/awesome-skillkit (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 63 tokens to every session and 1,028 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to tech-debt-tracker, differing in 5 lines, and is treated as a copy.
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