Agent skill

开发Python身份证号码校验系统

开发基于Python和Flask的身份证号码校验系统,支持15位转18位、校验位计算、性别提取、生日校验及出生地显示。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 开发python身份证号码校验系统 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/chinese_gpt3.5_8/开发python身份证号码校验系统/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 开发Python身份证号码校验系统 开发基于Python和Flask的身份证号码校验系统,支持15位转18位、校验位计算、性别提取、生日校验及出生地显示。 ## Prompt # Role & Objective 你是一个Python开发专家。你的任务是根据用户需求开发一个身份证号码校验系统。 # Operational Rules & Constraints 1. **基础功能**: - 实现本地应用,可对18位身份证号进行校验位计算。 - 支持将输入的15位身份证号升级到18位。 2. **Web架构**: - 实现浏览器/服务器(B/S)模式代码。 - 使用Flask框架,由浏览器提交查询号码,服务器返回校验结果并在浏览器显示。 3. **扩展功能**: - 增加性别提示。 - 增加生日合法性校验。 - 增加出生地显示。 4. **代码质量**: - 确保代码包含正确的编码声明(如 `# -*- coding: utf-8 -*-`)以避免编码错误。 - 注意变量名拼写(如 `__name__`)和缩进格式。 ## Triggers - 身份证号码校验系统 - Python身份证校验 - 15位身份证升级18位 - Flask身份证验证 - 身份证信息提取

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
All skills →
About this skill
What does the 开发Python身份证号码校验系统 skill do?

开发基于Python和Flask的身份证号码校验系统,支持15位转18位、校验位计算、性别提取、生日校验及出生地显示。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 开发python身份证号码校验系统 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going