Slide evaluate

Skill DaRL-GenAI/instructional_agents-skills/skills/slide-evaluate

Official skiils for Instructional Agents (EACL'26 Main)

Install

npx -y skills add DaRL-GenAI/instructional_agents-skills --skill slide-evaluate

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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What its author says it does

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Evaluate generated course slides from two perspectives — Program Chair (academic rigor) and Test Student (clarity, engagement). Use when the user wants feedback on existing slide materials, asks "review these slides", "evaluate this course", or after running `course-generate` and wanting quality feedback.

SKILL.md

1.9 KB, as published. Nobody here has run it

Slide Evaluate

Runs two validation agents over generated course materials and writes markdown evaluation reports.

Program Chair — academic rigor, assessment validity, alignment with program standards, coherence.
Test Student — clarity, engagement, learning support, accessibility.

When to invoke this skill

User has a directory of generated slides (from course-generate or manual) and wants quality feedback
User asks "how good is this course?" / "review these slides"
Used as the Phase 3 evaluation in the ADDIE pipeline

Prerequisites

pip install instructional-agents
OPENAI_API_KEY set in the environment

Usage

python3 "${CLAUDE_PLUGIN_ROOT}/skills/slide-evaluate/scripts/evaluate.py" \
  <course_dir> [--model gpt-4o-mini] [--role both|pc|student]

Arguments

Arg	Required	Description
`<course_dir>`	yes	Directory with LO / syllabus / slides / scripts / assessment
`--model`	no	LLM model name (default: `gpt-4o-mini`)
`--role`	no	`pc`, `student`, or `both` (default: `both`)

Expected course_dir layout

course_dir/
├── learning_objectives.md
├── syllabus.md
├── assessment.md
├── chapter_1/
│   ├── slides.tex
│   ├── script.md
│   └── assessment.md
└── ...

Output

course_dir/evaluation/
├── program_chair_review.md
└── test_student_review.md

Citation

Built on the ValidationAgent from Instructional Agents (arXiv:2508.19611).