Borrowing it
Nothing to install: this file belongs to matteocervelli/llms. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/matteocervelli/llms/main/.claude/skills/techdebt/SKILL.mdgit clone --depth 1 https://github.com/matteocervelli/llmsWrote 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/matteocervelli/llms/techdebt)<a href="https://agentmods.dev/skills/matteocervelli/llms/techdebt"><img src="https://agentmods.dev/badge/skills/matteocervelli/llms/techdebt/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/matteocervelli/llms/techdebt"><img src="https://agentmods.dev/badge/skills/matteocervelli/llms/techdebt.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 | $0.00064 | $0.00686 |
| Opus 5.5 | $0.00026 | $0.00274 |
| Sonnet 5.5 | $0.00013 | $0.00137 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
techdebt 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.
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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tech Debt Finder
Purpose
Surface technical debt patterns before they accumulate: duplicates, dead code, complexity hotspots, TODOs, oversized files.
Quick Start
/techdebt # scan current directory
/techdebt src/ # scan specific path
/techdebt --duplicates # only duplicate check
/techdebt --todos # only TODO/FIXME markers
/techdebt --dead-code # only dead code
How to Run
Execute the scan script — it auto-detects Python/JS/TS and skips missing tools:
bash $CLAUDE_SKILL_DIR/scripts/scan.sh [path] [filter-flag]
Then interpret and report the output using the Output Format below. The script handles tool invocation; your job is to classify findings by severity and suggest fixes.
Output Format
Produce a # Tech Debt Report with:
- Summary table — category, count, severity (Low / Medium / High)
- Details per category — file, line, symbol, suggestion
- Quick Fixes — any automatable repairs (
ruff --fix,eslint --fix) - Recommended Actions — prioritized: Immediate / This week / Backlog
Severity thresholds: duplicates (Low ≤2, Medium 3-5, High >5), dead code (Low ≤5, High >10), large functions (Medium >75 lines, High >100), large files (High >1000 lines), complexity CC >10 (Medium).
Tool Reference
Tools the script uses (installed = runs; missing = skipped with note):
| Check | Python | JS/TS |
|---|---|---|
| Duplicates | pylint | jscpd |
| Dead code | vulture | ts-prune |
| Complexity/size | radon | eslint |
| Circular imports | pycycle | madge |
| TODOs | grep (no dep) | grep (no dep) |
Install missing tools: uv add --dev vulture radon pylint / npm install -D jscpd ts-prune madge
Gotchas
.venv,node_modules,dist,__pycache__are auto-excluded by the scan scriptpylint --enable=duplicate-codeis slow on large codebases; warn if scanning >500 filests-pruneonly works from the project root (needstsconfig.json); run from a sub-path → 0 findingsradon cc= per-function cyclomatic complexity;radon raw= per-file LOC — different output formats- Deprecated registry dependency check requires
~/.claude/docs/development/registry.yaml; skip silently if absent
What ships with it
1 file 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.
- 1mo ago First seen · 66 lines · 64 tokens per session scan A ca520f8430dd
techdebt is a skill published in the GitHub repository matteocervelli/llms (25 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 686 once invoked, about $0.0003 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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