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 ailabs-393/ai-labs-claude-skills --skill tech-debt-analyzergit clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skillsWrote 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/ailabs-393/ai-labs-claude-skills/tech-debt-analyzer)<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/tech-debt-analyzer"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/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.
<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/tech-debt-analyzer"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/tech-debt-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00062 | $0.03439 |
| Opus 5.5 | $0.00025 | $0.01376 |
| Sonnet 5.5 | $0.00012 | $0.00688 |
| Haiku 4.5 | $0.00006 | $0.00344 |
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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 579 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Debt Analyzer
Overview
Systematically identify, analyze, document, and track technical debt in JavaScript/TypeScript codebases. This skill provides automated analysis tools, comprehensive debt categorization frameworks, and documentation templates to maintain a technical debt register.
Core Workflow
1. Automated Analysis
Run automated scripts to detect technical debt indicators across the codebase.
Code Smell Detection
Identify code quality issues using the automated detector:
python3 scripts/detect_code_smells.py src --output markdown
The script analyzes:
- Large Files: Files exceeding 500 lines
- Complex Functions: High cyclomatic complexity (>10) or long functions (>50 lines)
- Debt Markers: TODO, FIXME, HACK, XXX, BUG comments
- Console Statements: Debug statements left in code
- Weak Typing: Use of
anytype in TypeScript - Long Parameters: Functions with >5 parameters
- Deep Nesting: Code nested >4 levels deep
- Magic Numbers: Hardcoded numeric values
Output Example:
# Technical Debt Analysis Report
**Files Analyzed:** 127
**Total Lines:** 15,432
**Total Issues:** 89
### Issues by Severity
- HIGH: 23
- MEDIUM: 41
- LOW: 25
## Large Files (12 issues)
### High Priority
- src/components/Dashboard.tsx (847 lines): File too large
- src/services/DataProcessor.ts (623 lines): File too large
...
Dependency Analysis
Examine dependencies for debt indicators:
python3 scripts/analyze_dependencies.py package.json
The script identifies:
- Deprecated Packages: Known deprecated libraries (request, tslint, etc.)
- Duplicate Functionality: Multiple packages serving same purpose
- Version Issues: Overly loose or strict version constraints
- Security Concerns: Known vulnerable packages (requires audit data)
Output Example:
# Dependency Analysis Report
**Package:** expense-tracker
**Dependencies:** 24
**Dev Dependencies:** 18
**Total Issues:** 7
## Deprecated/Outdated Packages (3)
### request [HIGH]
Using deprecated package - use axios, node-fetch, or got instead
- Current version: ^2.88.0
## Duplicate Functionality (2)
### HTTP client [MEDIUM]
Multiple packages for HTTP client: axios, node-fetch
What ships with it
7 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.
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.
- 2mo ago First seen · 579 lines · 62 tokens per session scan A 1e3a13cc9209
tech-debt-analyzer is a skill published in the GitHub repository ailabs-393/ai-labs-claude-skills (460 stars, last pushed 11mo ago), licensed MIT. It adds 62 tokens to every session and 3,439 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 2026-08-30.
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