Pedagogical Code Grader
- 152 installs
- 2 repo stars
- Updated January 25, 2026
- jorgealves/agent_skills
Grade student or trainee submissions with rubric-aligned feedback on correctness, style, and learning objectives instead of only pass-fail lint results.
About
Provides pedagogical code grading that evaluates submissions against learning objectives and rubrics, delivering constructive feedback on correctness, readability, and conceptual understanding for educators and training programs.
- Rubric-aligned scoring
- Constructive learner feedback
- Concept gap identification
- Style and correctness balance
- Repeatable grading workflow
Pedagogical Code Grader by the numbers
- 152 all-time installs (skills.sh)
- +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Ranked #207 of 782 Skill Development skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
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| Installs | 152 |
|---|---|
| repo stars | ★ 2 |
| Last updated | January 25, 2026 |
| Repository | jorgealves/agent_skills ↗ |
What it does
Grade student or trainee submissions with rubric-aligned feedback on correctness, style, and learning objectives instead of only pass-fail lint results.
Files
Mentoring & Education: Evaluators & Reviewers
This directory contains skills for the "Feedback" phase of the teaching lifecycle.
- Pedagogical Code Grader: Grades based on "Did they learn the concept?" rather than just "Did it pass tests?".
- Industry Standard Reviewer: Gives feedback in the persona of a Senior Engineer.
- Concept Mastery Validator: Ensures the teaching plan and the projects are perfectly aligned.
Use Cases
- Automated Grading: Scale your teaching by automating the initial conceptual review of student code.
- Professional Readiness: Prepare students for their first job by exposing them to realistic PR feedback loops.
- Quality Assurance: Audit your own curriculum to ensure you aren't asking students to do things you haven't taught.
name: pedagogical-code-grader
version: 1.0.0
description: Evaluates student code submissions based on conceptual mastery rather than just correctness. Use to provide high-quality educational feedback on architectural patterns and programming logic.
inputs:
student_code_path:
type: string
required: true
rubrics:
type: array
items:
type: string
outputs:
grading_report:
type: object
properties:
score:
type: integer
feedback:
type: array
capabilities:
- AST analysis for pattern verification.
- Contextual feedback generation.
constraints:
- Pedagogical focus; not production-ready fix.
security:
- Student code processed locally.
examples:
- input:
student_code_path: "./sub"
rubrics: ["Loops"]
output:
grading_report:
score: 90
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