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 ArabelaTso/Skills-4-SE --skill dead-code-eliminatorgit clone --depth 1 https://github.com/ArabelaTso/Skills-4-SEWrote 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/arabelatso/skills-4-se/dead-code-eliminator)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/dead-code-eliminator"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/dead-code-eliminator/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/arabelatso/skills-4-se/dead-code-eliminator"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/dead-code-eliminator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00107 | $0.03099 |
| Opus 5 | $0.00053 | $0.01550 |
| Sonnet 5 | $0.00021 | $0.00620 |
| Haiku 4.5 | $0.00011 | $0.00310 |
Grade A, and why
dead-code-eliminator 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.
How it starts
The opening of the file, as written. The whole thing — 564 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dead Code Eliminator
Overview
Systematically identify unused or redundant code in Python codebases to improve maintainability, reduce confusion, and eliminate technical debt.
Workflow
1. Understand the Scope
Define what to analyze:
Questions to ask:
- What directory or files should be analyzed?
- Should test files be included or excluded?
- Are there specific types of dead code to focus on?
- Should external-facing API functions be considered?
Determine analysis scope:
# Check project structure
ls -la
# Count Python files
find . -name "*.py" | wc -l
# Identify test directories
find . -type d -name "*test*"
2. Identify Dead Code
Use multiple detection strategies to find different types of dead code.
Strategy 1: Find Unused Functions
Use the bundled script for AST-based analysis:
# Scan entire project
python scripts/find_unused_functions.py /path/to/project
# Exclude specific directories
python scripts/find_unused_functions.py /path/to/project tests,venv,docs
What it detects:
- Functions defined but never called
- Methods that aren't invoked anywhere
- Async functions without callers
Limitations:
- Won't detect dynamically called functions (via getattr, decorators)
- May flag public API functions that are used externally
- Doesn't detect pytest fixtures or entry points
Strategy 2: Find Unused Imports
Use the bundled script to identify unused imports:
# Scan single file
python scripts/find_unused_imports.py /path/to/file.py
# Scan entire directory
python scripts/find_unused_imports.py /path/to/project
# Exclude directories
python scripts/find_unused_imports.py /path/to/project venv,.venv,tests
What it detects:
- Imports that are never referenced
- Unused
from X import Ystatements - Redundant imports
Strategy 3: Use External Tools
Leverage Python ecosystem tools for comprehensive analysis:
vulture - Finds unused code:
# Install
pip install vulture
# Run on project
vulture /path/to/project
# Exclude directories
vulture /path/to/project --exclude venv,tests
# Set minimum confidence (0-100)
vulture /path/to/project --min-confidence 80
What ships with it
3 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.
- 9d ago First seen · 564 lines · 107 tokens per session scan A 248c9a312f81
dead-code-eliminator is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (251 stars, last pushed 18d ago), licensed Apache-2.0. It adds 107 tokens to every session and 3,099 once invoked, about $0.0005 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 2026-08-30.
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