Assignment Context

Automatically injects assignment files (README, brief, rubric, style guide, etc.) into the AI prompt so questions are targeted to the specific requirements of the assignment — without manually copying content into additional_context.

Copy this file to .github/workflows/grill-my-code.yml in the student repository.

name: Code Assessment

on:
  push:
    branches-ignore:
      - main
      - master

jobs:
  generate-questions:
    runs-on: ubuntu-latest
    permissions:
      contents: write  # required to commit the output file back to the repo
      models: read     # required to call GitHub Models API
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0  # full history required for diff resolution

      - uses: NSCC-ITC-Assessment/GrillMyCode@v1
        with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
          num_questions: "5"
          # Read files from the repository and inject their contents into the
          # AI prompt automatically. Globs are matched against the full relative
          # path from the repo root, so subdirectory paths and wildcards work
          # (e.g. "docs/assignment.md", "**/*.md").
          assignment_context: "README.md, assignment.md"

Notes

assignment_context accepts a comma-separated list of glob patterns — all matching files are concatenated and injected before additional_context in the prompt
Supported file types: plain text and source files (any UTF-8 text), PDF (.pdf — text layer only, images ignored), Microsoft Word (.doc/.docx — text content only, images ignored)
If a file cannot be read or parsed, a workflow warning is emitted for that file and the action continues with the remaining files
Combined file contents are capped at assignment_context_max_chars characters (default 20000) to prevent extremely large files from flooding the prompt
Common files to include: README.md, assignment brief, rubric, or any instructor-maintained requirements document

Notes​

Notes