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Install in OpenClaw
/install lagou
Description
提供拉勾公开职位和公司信息的检索与摘要服务，不支持登录、投递或批量抓取操作。
README (SKILL.md)
拉勾
用途与边界
- 面向公开职位与公司页的检索与信息摘要
- 不提供投递、登录自动化或批量抓取能力
- 仅用于公开页面的轻量分析与提醒
关键入口
- 主页：https://www.lagou.com/
- 职位搜索：https://www.lagou.com/jobs/list_
- 公司页：通过职位详情进入公司主页
常见任务
- 指定关键词/城市的职位列表摘要（薪资、经验、学历、类型）
- 职位详情核心字段整理（职责、要求、技能标签）
- 公司信息摘要（行业、规模、技术栈）
数据字段
- 职位名称、薪资范围、城市、经验要求、学历、职位类型、发布时间、链接
- 职责与要求、技能标签、福利亮点
- 公司名称、行业、规模、技术栈、公司链接
自动化要点
- 动态渲染与人机校验，建议人工打开后触发解析
- 频率控制，避免批量抓取；标注采集时间
- 不进行账号登录或投递操作
示例流程
- 关键词清单：输入关键词/城市 → 搜索 → 抽取列表 → 输出职位摘要
- 职位摘要：访问详情页 → 提取职责/要求/薪资 → 生成对比卡片
- 公司速览：进入公司页 → 抽取行业/规模/技术栈 → 输出摘要
合规提示
- 遵守平台规则，不进行接口调用或批量采集
- 结果仅用于内部分析与提醒
Usage Guidance
This skill appears coherent and low-risk technically because it only documents how to read public Lagou pages and asks for no secrets or installs. Before installing, consider policy/ToS and rate-limit risks: ensure your agent will not perform automated logins, mass scraping, or ignore robots/terms of service; if the agent can make web requests, configure rate limits and monitoring so it only performs the light, read-only actions the SKILL.md describes.
Capability Analysis
Type: OpenClaw Skill
Name: lagou
Version: 0.1.0
The skill bundle contains instructions for an AI agent to summarize public job listings and company information from the Lagou recruitment platform. The SKILL.md file explicitly restricts the agent from performing automated logins, job applications, or aggressive scraping, emphasizing compliance with platform rules and manual oversight for anti-bot measures. No malicious code, data exfiltration, or suspicious prompt injection attempts were identified.
Capability Assessment
Purpose & Capability
Name/description (public job/company search and summaries) align with the SKILL.md tasks (search, extract, summarize public pages). There are no unrelated environment variables, binaries, or installs requested.
Instruction Scope
Runtime instructions are limited to visiting public pages and extracting fields (job title, salary, requirements, company info). The README explicitly bans login, submission, and bulk scraping and recommends manual triggers and rate control. It does not instruct reading unrelated files or secrets.
Install Mechanism
No install spec and no code files are provided (instruction-only), so the skill does not drop code or binaries on disk — lowest install risk.
Credentials
The skill requires no environment variables, credentials, or config paths; requested access is proportional to its stated purpose.
Persistence & Privilege
always is false and autonomous invocation is the platform default. The skill does not request elevated persistence or modification of other skills/configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install lagou - After installation, invoke the skill by name or use
/lagou - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of lagou-hot-trend skill for public job and company information on Lagou.
- Provides concise summaries for job listings and company pages based on public data.
- Supports keyword/city-based job searches and extracts key details like salary, experience, education, and job type.
- Extracts and formats job and company information (e.g., tags, requirements, technology stacks).
- Focuses on lightweight analysis and reminders with compliance notices; does not automate logins, applications, or bulk scraping.
Metadata
Frequently Asked Questions
What is Lagou?
提供拉勾公开职位和公司信息的检索与摘要服务，不支持登录、投递或批量抓取操作。 It is an AI Agent Skill for Claude Code / OpenClaw, with 179 downloads so far.
How do I install Lagou?
Run "/install lagou" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Lagou free?
Yes, Lagou is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Lagou support?
Lagou is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Lagou?
It is built and maintained by ClawKK (@codekungfu); the current version is v0.1.0.
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