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SKILL verified MIT Self-run

Slide Evaluate

skill-darl-genai-instructional-agents-skills-slide-evaluate · by DaRL-GenAI

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.

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Install

$ agentstack add skill-darl-genai-instructional-agents-skills-slide-evaluate

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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" \
   [--model gpt-4o-mini] [--role both|pc|student]

Arguments

| Arg | Required | Description | |---|---|---| | ` | 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).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.