Install
$ agentstack add skill-darl-genai-instructional-agents-skills-slide-evaluate ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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-generateor 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-agentsOPENAI_API_KEYset 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.
- Author: DaRL-GenAI
- Source: DaRL-GenAI/instructional_agents-skills
- License: MIT
- Homepage: https://darl-genai.github.io/instructionalagentshomepage/
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.