swelist（swelist 搜索）

swelist

This document defines the operational capabilities, invocation contract, and usage semantics of the swelist CLI tool for AI agents, schedulers, and automation systems.

Tool Identity

• Name: swelist
• Type: Command-Line Interface (CLI)
• Language: Python
• Distribution: PyPI
• Execution Model: Stateless, read-only

Purpose

swelist retrieves recently added technology internship and new‑graduate job postings from curated public GitHub repositories and renders them in a predictable, text-based format.

It is optimized for: - Automation pipelines - Periodic polling agents - Human-in-the-loop job search workflows

Data Sources

• SimplifyJobs / Summer2025-Internships
• SimplifyJobs / New-Grad-Positions

Data is fetched live at runtime.

Installation

pip install swelist

Invocation Contract

swelist [--role ROLE] [--timeframe TIMEFRAME]

The tool accepts only CLI flags. No stdin is consumed.

Parameters

--role

Controls which category of jobs to retrieve.

Value Meaning ------------ ---------------------------- internship Internship roles (default) newgrad New‑graduate roles

Example:

swelist --role newgrad

--timeframe

Controls recency filtering.

Value Time Window ----------- --------------- lastday Last 24 hours lastweek Last 7 days lastmonth Last 30 days

Example:

swelist --timeframe lastweek

Output Contract

• Output is written to STDOUT
• Format is human- and agent-readable plain text
• No JSON or structured serialization

Job Posting Fields

Each job entry contains:

• Company (string)
• Title (string)
• Location (string)
• Link (URL)

Example:

Company: Example Corp Title: Software Engineer Intern Location: Remote Link: https://example.com/apply

Execution Guarantees

• No side effects
• No persistent storage
• Safe for repeated execution
• Deterministic given identical upstream data
• No authentication required

Error Behavior

• Network issues may raise runtime errors or result in empty output
• Invalid flags produce CLI usage errors
• Zero matching jobs produces valid empty result output

Environment Requirements

• Python 3.8+
• Internet access
• Supported on macOS, Linux, Windows

Agent-Oriented Use Cases

• Daily polling for new internship postings
• Weekly new‑grad job aggregation
• Feeding results into ranking, scoring, or alerting agents
• Execution via cron, CI pipelines, or autonomous agents

Known Limitations

• No built‑in alerting
• No local caching
• No deduplication beyond source data
• No JSON output format

Safety & Compliance

• Uses only public data
• No user tracking
• No credential usage
• No scraping of private systems

Versioning

Behavior may evolve with upstream data sources. CLI flags are considered stable within a major version.

End of document.