assessment-python-deepseek-cli-beginner

Grade beginner Python DeepSeek CLI submissions against a rubric.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/YangYuS8/dev-2026-grading --skill assessment-python-deepseek-cli-beginner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: assessment-python-deepseek-cli-beginner
Source: https://github.com/YangYuS8/dev-2026-grading/tree/main/.opencode/skills/assessment-python-deepseek-cli-beginner
Command: npx skills add https://github.com/YangYuS8/dev-2026-grading --skill assessment-python-deepseek-cli-beginner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Grade beginner Python DeepSeek CLI chat assessment submissions consistently to reduce manual grading overhead for dev-2026 style tasks.

Core Features & Use Cases

  • Grading scope: environment setup, API key handling, API calls, terminal streaming, chat loop, and README documentation.
  • Standardized rubric: applies the provided rubric.md to ensure consistent scoring across submissions.
  • Practical usage: instructors can evaluate a student's repo against the rubric to generate a transparent feedback report.

Quick Start

Run the grader against a student's DeepSeek CLI submission repository using the project's standard invocation.

Frequently Asked Questions about assessment-python-deepseek-cli-beginner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I grade beginner Python DeepSeek CLI submissions consistently?

To grade beginner Python DeepSeek CLI submissions, apply a standardized rubric that evaluates environment setup, API key handling, API calls, terminal streaming, chat loops, and README documentation to generate a transparent feedback report.

What does a beginner Python DeepSeek CLI assignment need to include?

A beginner Python DeepSeek CLI assignment must use a virtual environment, read the DEEPSEEK_API_KEY from environment variables, call the DeepSeek API, stream replies in the terminal, support an interactive chat loop, and document usage in a README.

How do I evaluate a student's Python repository for DeepSeek API usage?

Evaluating a student's Python repository for DeepSeek API usage involves validating environment setup, checking API key handling, verifying API invocation, testing streaming terminal output, and assessing documentation quality against the rubric.

Does the Python DeepSeek CLI grading rubric check for virtual environment setup?

Yes, the Python DeepSeek CLI grading rubric validates environment setup, ensuring the student repository correctly configures a virtual environment and handles the DEEPSEEK_API_KEY before making API calls.

What is the best way to automate grading for Python terminal streaming assignments?

Automating grading for Python terminal streaming assignments is best handled by running a grader against the student repository to apply a rubric that scores environment setup, API calls, streaming, and documentation quality.