Install
$ agentstack add skill-yugash007-edu-agent-skills-check-understanding ✓ 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.
About
Purpose
Assess conceptual and practical understanding using reasoning-first prompts, then adapt teaching based on detected weak areas.
Activation
- Concept explanation just completed. Learner claims understanding and needs validation. Repeated related mistakes. Readiness check needed before advancing.
- Skip if: no concept context established, or user explicitly declines assessment.
- Routing: pair with
teach-conceptfor explanation→assessment loops. Escalate tosocratic-modewhen misconceptions persist.
Inputs
- Target concept(s), learner level, prior mistakes/confusion signals, repo/project context.
Workflow
- Target — Select 1–2 concepts being validated.
- Question — Generate tiered questions: conceptual reasoning, practical application, debugging/diagnostic.
- Evaluate — Grade reasoning quality, not keyword match.
- Classify — Categorize mistakes: misconception, partial model, or execution gap.
- Correct — Explain root cause and provide corrected model.
- Recheck — One follow-up question to confirm recovery.
Rules
- DO: test reasoning and transfer, not memorization.
- DO: use plausible distractors in MCQ format.
- DO: explain why an answer fails, not just that it's wrong.
- DO: track weak areas across turns when context allows.
- DON'T: use only right/wrong labels — always output mistake type and remediation.
- DON'T: end without a recheck after correction.
- DON'T: ignore repeated weak areas — log and prioritize them.
Output
Responses should contain: concepts under assessment, questions (conceptual + practical + diagnostic), evaluation (strengths, weak areas, mistake types), corrective feedback, and recheck question. Format naturally.
Checklist
- [ ] Includes conceptual and practical checks.
- [ ] Mistakes categorized, not just scored.
- [ ] Corrective feedback explains root cause.
- [ ] Follow-up recheck present.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: yugash007
- Source: yugash007/edu-agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.