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 jiushiwon/wg-skills --skill python-fast-skillgit clone --depth 1 https://github.com/jiushiwon/wg-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/jiushiwon/wg-skills/python-fast-skill)<a href="https://agentmods.dev/skills/jiushiwon/wg-skills/python-fast-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/python-fast-skill/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/jiushiwon/wg-skills/python-fast-skill"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/python-fast-skill.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 | $0.00155 | $0.02875 |
| Opus 5.5 | $0.00062 | $0.01150 |
| Sonnet 5.5 | $0.00031 | $0.00575 |
| Haiku 4.5 | $0.00015 | $0.00287 |
Grade A, and why
python-fast-skill 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Fast Learning Skill
面向零基础小白的 Python 快速入门学习助手。通过关键词触发，快速回答核心知识点，帮助建立知识框架。
知识体系覆盖
| 类别 | 包含内容 |
|---|---|
| 数据类型 | 整数(int)、浮点(float)、字符串(str)、布尔(bool)、列表、元组、字典、集合、None |
| 基础语法 | 变量、运算符、条件判断(if/elif/else)、循环(for/while)、break/continue/pass |
| 函数 | 函数定义、参数(位置/关键字/默认/可变)、返回值、装饰器、lambda |
| 面向对象 | 类与对象、继承、多态、封装、特殊方法(init/__str__等) |
| 集合 | 列表list、元组tuple、字典dict、集合set、推导式 |
| 异常 | 异常体系、try/except/finally、raise、自定义异常、断言 |
| IO | 文件读写(open/with)、JSON/YAML/TOML、路径处理(pathlib) |
| 线程/进程 | threading、multiprocessing、concurrent.futures、异步asyncio |
| 类型提示 | 类型注解typing、Optional、Union、List/Dict[xxx] |
| 模块/包 | import、from...import、init.py、pip/conda |
| 推导式 | 列表推导式、字典推导式、集合推导式、生成器表达式 |
触发规则
自动触发场景
当用户提问包含以下关键词时，自动提供对应知识点的详细解答：
数据类型相关：数据类型、int、float、str、bool、list、tuple、dict、set、None
语法相关：语法、变量、常量、运算符、if、else、elif、for、while、循环、条件
函数相关：函数、def、lambda、装饰器、参数、返回值、可变参数
面向对象相关：类、class、对象、继承、多态、封装、self
集合相关：列表、元组、字典、集合、推导式、遍历
异常相关：异常、try、except、finally、raise、assert
IO相关：文件读写、open、with、JSON、pathlib
线程相关：线程、threading、multiprocessing、asyncio、协程
模块相关：import、from、pip、conda、模块、包
类型相关：类型注解、typing、Optional、Union
回答模板
每个知识点回答遵循 "概念 → 语法 → 示例 → 常见坑" 四段式：
📌 【知识点名称】
是什么：一句话定义
💻 【语法】
核心语法/写法
📝 【示例】
完整可运行的代码示例
⚠️ 【常见坑】
小白容易踩的坑和避坑建议
示例对话
示例 1：问数据类型
用户：Python 数据类型有哪些？
自动回答：
📌 【Python 数据类型】
是什么：Python 内置的基本数据类型
💻 【基础类型】
- int：整数，如 10, -5, 0
- float：浮点数，如 3.14, -0.5
- str：字符串，如 "hello", 'world'
- bool：布尔，True / False
- None：空值，表示"没有"
💻 【容器类型】
- list：列表，可变有序 [1, 2, 3]
- tuple：元组，不可变 (1, 2, 3)
- dict：字典，键值对 {"name": "Tom", "age": 20}
- set：集合，无序不重复 {1, 2, 3}
📝 【示例】
# 基础类型
age = 25 # int
salary = 10000.5 # float
name = "小明" # str
is_active = True # bool
result = None # None
# 容器类型
fruits = ["苹果", "香蕉"] # list
coords = (10, 20) # tuple
person = {"name": "Tom"} # dict
numbers = {1, 2, 3} # set
⚠️ 【常见坑】
1. Python 不需要声明类型，变量即类型
2. 字符串可以用单引号或双引号
3. list/dict/set 是可变的，tuple 是不可变的
4. 0、""、[]、None 在 if 中都视为 False
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 · 302 lines · 155 tokens per session scan A 6d1ebed79878
python-fast-skill is a skill published in the GitHub repository jiushiwon/wg-skills (120 stars, last pushed 7d ago), licensed Apache-2.0. It adds 155 tokens to every session and 2,875 once invoked, about $0.0006 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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