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Job Search MCP (JobSpy)
作者
NikkiJasmine
· GitHub ↗
· v1.0.3
2480
总下载
2
收藏
7
当前安装
1
版本数
在 OpenClaw 中安装
/install job-search-mcp-jobspy
功能描述
Search and compare job listings across multiple boards using JobSpy MCP, with filters for criteria, location, salary, remote options, and easy apply roles.
使用说明 (SKILL.md)
Job Search MCP Skill
This skill enables AI agents to search for job listings across multiple job boards using the JobSpy MCP server.
JobSpy aggregates listings from sources such as LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google Jobs, and more into a unified interface.
When to Use This Skill
Use this skill when you want to:
- Find job listings matching specific criteria (role, location, company)
- Search for remote or on-site positions
- Compare opportunities across job boards
- Retrieve salary information when available
- Find recently posted jobs
- Filter for “Easy Apply” roles
Prerequisites
- Python 3.10+
- JobSpy MCP server installed and configured
Installation & Setup
macOS Setup (Homebrew Python)
Homebrew-managed Python is externally managed (PEP 668). Create and activate a virtual environment before installing dependencies:
python3 -m venv .venv
source .venv/bin/activate
pip install mcp python-jobspy pandas pydantic
安全使用建议
This skill may do what it claims, but important information is missing and it asks you to install third‑party Python packages from unknown sources. Before installing or using it: 1) Ask the publisher for a homepage, source repository, and package authorship; 2) Request explicit instructions for connecting to the JobSpy MCP server (endpoint URL, required auth, where credentials are stored); 3) Prefer pinned package versions and review the packages' source code or PyPI pages; 4) Test installation in an isolated environment (container or disposable VM) rather than your primary machine; and 5) if you can't verify the packages or server origin, do not install — the pip packages could run arbitrary code.
功能分析
Type: OpenClaw Skill
Name: job-search-mcp-jobspy
Version: 1.0.3
The skill bundle appears benign. The `SKILL.md` provides standard instructions for setting up a Python virtual environment and installing common, relevant dependencies (`mcp`, `python-jobspy`, `pandas`, `pydantic`) to interact with a stated 'JobSpy MCP server'. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts against the agent with harmful intent. All instructions align with the stated purpose of a job search skill.
能力评估
Purpose & Capability
The SKILL.md describes a job-search capability using a 'JobSpy MCP' server and Python packages (mcp, python-jobspy). That generally aligns with the name, but the package registry metadata has no description, no source/homepage, and the skill gives no concrete details about how to connect to the JobSpy server (URL, auth, API key). The lack of publisher/source makes it hard to verify the claimed capability.
Instruction Scope
Runtime instructions tell the agent (and user) to create a venv and pip install mcp, python-jobspy, pandas, pydantic. There are no further runtime instructions in the SKILL.md about how the agent should authenticate to the JobSpy MCP server or where credentials/config live. The instructions thus require installing and running third-party code but leave out critical configuration and security details.
Install Mechanism
There is no formal install spec, but the SKILL.md advises pip install of packages with no pinned versions or provenance. Installing unvetted PyPI packages can execute arbitrary code; because the skill's package names and publisher are unknown and no homepage/source is provided, this is a meaningful risk.
Credentials
The skill declares no required environment variables or credentials, yet it depends on a separate JobSpy MCP server being 'installed and configured'. The mismatch (no declared env or auth guidance) is concerning: the agent or user will likely need to provide a server URL, credentials, or API token that are not described, leaving ambiguity about where secrets would be stored or how they'd be used.
Persistence & Privilege
The skill does not request always:true and has no special OS restrictions or config paths. Autonomous invocation is enabled by default (disable-model-invocation: false) but that is the platform default and not a unique concern here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install job-search-mcp-jobspy - 安装完成后，直接呼叫该 Skill 的名称或使用
/job-search-mcp-jobspy触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.3
Initial release of the Job Search MCP skill.
Provides aggregated job search across multiple job boards using JobSpy.Minor metadata update
元数据
常见问题
Job Search MCP (JobSpy) 是什么？
Search and compare job listings across multiple boards using JobSpy MCP, with filters for criteria, location, salary, remote options, and easy apply roles. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2480 次。
如何安装 Job Search MCP (JobSpy)？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install job-search-mcp-jobspy」即可一键安装，无需额外配置。
Job Search MCP (JobSpy) 是免费的吗？
是的，Job Search MCP (JobSpy) 完全免费（开源免费），可自由下载、安装和使用。
Job Search MCP (JobSpy) 支持哪些平台？
Job Search MCP (JobSpy) 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Job Search MCP (JobSpy)？
由 NikkiJasmine（@nikkijasmine）开发并维护，当前版本 v1.0.3。
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