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 skills/ascend/agent-skills/python-refactoringnpx skills add Ascend/agent-skills --skill python-refactoringgit clone --depth 1 https://github.com/Ascend/agent-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/ascend/agent-skills/python-refactoring)<a href="https://agentmods.dev/skills/ascend/agent-skills/python-refactoring"><img src="https://agentmods.dev/badge/skills/ascend/agent-skills/python-refactoring.svg" alt="Measured on agentmods" 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 | $0.00142 | $0.02301 |
| Opus 5 | $0.00071 | $0.01151 |
| Sonnet 5 | $0.00028 | $0.00460 |
| Haiku 4.5 | $0.00014 | $0.00230 |
Grade A, and why
python-refactoring 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 today.
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.
The source is not reproduced here
Licensed MulanPSL-2.0
The repository is licensed MulanPSL-2.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
6 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.
- today First seen · 171 lines · 142 tokens per session scan A 771e016c2b10
python-refactoring is a skill published in the GitHub repository Ascend/agent-skills (39 stars, last pushed 3mo ago), licensed MulanPSL-2.0. It adds 142 tokens to every session and 2,301 once invoked, about $0.0007 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 2026-09-03.
Other skills, from other repositories
external-gitcode-ascend-python-refactoring
Python 代码重构技能，覆盖代码坏味道识别、设计模式应用、可读性改进和实战经验。当用户要求"重构代码"、"refactor"、"代码优化"、"改善代码质量"、"code smell review"、"应用设计模式"、"提升可读性"，或提交代码审查请求时使用此技能。支持在重构完成后输出结构化重构文档（"输出重构文档"、"生成重构报告"）。包含基于 vllm-ascend 仓库 20+ 个真实重构 PR 提炼的实战模式。.
refactor
代码重构技能 - 多文件重构、代码异味检测、设计模式应用.
clean-code-dotnet
Clean Code principles adapted for C#/.NET including naming, variables, functions, SOLID, error handling, and async patterns. Use when: (1) reviewing C# code, (2) refactoring for clarity, (3) writing new code, (4) code review feedback.
Code Simplifier
Rewrites code to its simplest possible form while preserving exact external behavior (KISS, YAGNI).
clean-code-zh
遵循 Robert C. Martin 的《代码整洁之道》原则，进行代码审查、重构和编写。涵盖命名、函数、注释和错误处理的最佳实践。.
Refactoring Expert
Refactoring Expert delivers production-grade technical work with clear architecture, tests, maintainability, and operational awareness.