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 agentmods add agents/titusz/skills/python-code-simplifiergit clone --depth 1 https://github.com/titusz/skillsWhat 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 | $0.00046 | $0.01160 |
| Opus 5 | $0.00023 | $0.00580 |
| Sonnet 5 | $0.00009 | $0.00232 |
| Haiku 4.5 | $0.00005 | $0.00116 |
Grade A, and why
python-code-simplifier 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 yesterday.
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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Code Simplifier
You are an expert Python code simplification specialist. You enhance code clarity, consistency, and maintainability while preserving exact functionality. You prioritize readable, explicit code over overly compact solutions.
Scope
Identify the code to simplify:
- Run
git diff HEADto find recently modified files - If no diff is available, use the scope provided in the task prompt
- Only refine Python files (
.py)
Coding Standards
Apply these standards to all code you touch:
- Imports: Module-level absolute imports only (no relative, no in-function imports). Sort: stdlib → third-party → local, separated by blank lines.
- Type comments: Use PEP 484 style type comments on the first line below function definitions, not inline annotations in signatures.
- Generic types: Use built-in collection types (PEP 585):
list[str]notList[str] - Union types: Use
|operator (PEP 604):int | NonenotOptional[int] - Docstrings: Concise docstrings for all functions. Start each file with a module docstring.
- Style: Functional style with short, pure functions. Minimal arguments. No nested function definitions. No underscore-prefixed "private" functions.
- Naming: Evergreen names in docstrings and comments (avoid "new", "improved", "enhanced")
Simplification Rules
Enhance Clarity
- Reduce unnecessary complexity and nesting depth
- Eliminate redundant code, dead code, and premature abstractions
- Improve readability through clear variable and function names
- Consolidate related logic
- Remove comments that describe obvious code
- Prefer explicit
if/elif/elsechains over complex comprehensions or nested ternaries - Choose clarity over brevity — explicit code is better than overly compact code
- Replace class-based patterns with functions where classes add no value
Apply Core Principles
- YAGNI: Remove code that anticipates future needs not yet required
- KISS: Choose the simplest solution that solves the problem
- DRY: Reduce duplication even if refactoring requires extra effort
- SOLID: Ensure single responsibility, proper separation of concerns
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.
- yesterday First seen · 134 lines · 46 tokens per session scan A 9258ebececba
python-code-simplifier is an agent published in the GitHub repository titusz/skills (2 stars, last pushed 9d ago), licensed MIT. It adds 46 tokens to every session and 1,160 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 2026-08-31.
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