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Concept Mastery Validator

  • 153 installs
  • 2 repo stars
  • Updated January 25, 2026
  • jorgealves/agent_skills

Check whether learners truly understand module concepts before advancing, using agent-guided quizzes, rubrics, and gap analysis tied to learning objectives.

About

Agent skill that validates learner concept mastery for educational modules by defining rubrics, checking prerequisites, and surfacing knowledge gaps before advancing to new sessions or projects.

  • Rubric-driven mastery checks
  • Prerequisite and gap detection
  • Agent-guided assessment flows
  • Blocks progression until concepts land
  • Aligns quizzes to module objectives

Concept Mastery Validator by the numbers

  • 153 all-time installs (skills.sh)
  • +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #202 of 782 Skill Development skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jorgealves/agent_skills --skill concept-mastery-validator

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Listed on Skillselion
Installs153
repo stars2
Last updatedJanuary 25, 2026
Repositoryjorgealves/agent_skills

What it does

Check whether learners truly understand module concepts before advancing, using agent-guided quizzes, rubrics, and gap analysis tied to learning objectives.

Files

SKILL.mdMarkdownGitHub ↗

Concept Mastery Validator

Purpose and Intent

The concept-mastery-validator is a quality assurance tool for educators and mentors. It ensures that the learning journey is logically sound and that students are not asked to perform tasks for which they haven't yet received foundational training.

When to Use

  • Curriculum Auditing: Run this after designing a new module to ensure the learning objectives match the suggested projects.
  • Project Refinement: Use this to identify if a project is too difficult or requires "hidden" knowledge not covered in the lessons.

When NOT to Use

  • Individual Student Grading: This tool audits the curriculum structure, not the student's personal performance.

Security and Data-Handling Considerations

  • Safe structural analysis; does not require sensitive student or proprietary data.

Related skills

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