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Slide evaluate

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

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.From its SKILL.md

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.

3 things to look at

  • reads credentialsReads from 1 credential source: `OPENAI_API_KEY`.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 2 commands, including `pip install instructional-agents` and 1 more.

SKILL.md

1.9 KB, 413 tokens by cl100k_base, 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

ArgRequiredDescription
<course_dir>yesDirectory with LO / syllabus / slides / scripts / assessment
--modelnoLLM model name (default: gpt-4o-mini)
--rolenopc, 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).

What ships with it: 1 file

2.4 KB alongside SKILL.md, 1 of them executable

scripts/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.