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版本数
在 OpenClaw 中安装
/install swelist
功能描述
retrieves recently added technology internship and new‑graduate job postings.
安全使用建议
This skill appears coherent: it calls a CLI that pulls public job postings and asks for no credentials. However the actual behavior depends on the external PyPI package 'swelist', which is not included here. Before installing or granting an agent the ability to run it, review the PyPI project page and source repository (check package files, maintainer, recent releases, and dependencies). If you plan to run it on your machine or allow autonomous agents to invoke it, prefer installing in an isolated environment (virtualenv or container), avoid running as root, and verify there are no unexpected network endpoints or credential access in the package. If you need higher assurance, request the package source or a reproducible build so you can inspect what the installed binary actually does.
能力评估
Purpose & Capability
Name/description (fetch public internship/new‑grad job postings) match the requested binary ('swelist') and the declared install (PyPI package 'swelist'). No credentials, config paths, or unrelated binaries are requested.
Instruction Scope
SKILL.md confines behavior to running the swelist CLI with flags, fetching live data from public GitHub repos, writing only to STDOUT, and consuming no stdin or local files. The doc asserts 'no side effects' and 'no persistent storage' — those are reasonable expectations but cannot be verified without inspecting the installed package.
Install Mechanism
Install is via PyPI ('swelist' package) which is appropriate for a Python CLI. Installing a PyPI package executes third-party code on the host; the installer is not a direct download from an unknown URL, but the package itself is external and not included in this skill bundle.
Credentials
No environment variables, secrets, or config paths are requested. The declared requirements (Python 3.8+, internet access) are proportional to the stated task of fetching public data.
Persistence & Privilege
Skill is not always‑on and does not request elevated persistence. It is user-invocable and allows autonomous invocation per platform defaults — this is expected for automation use cases and is not by itself a red flag.
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 swelist - 安装完成后，直接呼叫该 Skill 的名称或使用
/swelist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
v1.0.2
- Added structured front matter with metadata including description, homepage, and install instructions.
- Updated SKILL.md to include Openclaw-specific metadata (such as emoji, bin requirements, and install steps).
- No changes to functionality, command-line usage, or tool description.
v1.0.1
- Added new documentation file: SKILLS.md
- Removed old documentation file: skills.md
- No changes to tool behavior or interfaces—documentation update only
v1.0.0
swelist 1.0.0 — Initial public release
- Provides a CLI tool to fetch recent technology internship and new-grad job postings using live public GitHub sources.
- Supports filtering by role (internship or newgrad) and timeframe (last day, week, or month) via CLI flags.
- Outputs plain text, agent- and human-readable job listings (company, title, location, link) to STDOUT.
- Designed for automation, agent integration, and repeated execution with predictable, stateless operation.
- No authentication, tracking, or side effects; requires Python 3.8+ and internet access.
元数据
常见问题
Swelist 是什么？
retrieves recently added technology internship and new‑graduate job postings. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1889 次。
如何安装 Swelist？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install swelist」即可一键安装，无需额外配置。
Swelist 是免费的吗？
是的，Swelist 完全免费（开源免费），可自由下载、安装和使用。
Swelist 支持哪些平台？
Swelist 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 Swelist？
由 Yuan Chen（@chenyuan99）开发并维护，当前版本 v1.0.2。
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