education-expert

education-expert is a skill for Claude Code from personamanagmentlayer/pcl. It costs 45 tokens per session (2,580 once invoked), scanned A, original, Apache-2.0.

An expert guide to educational technology, including learning platforms, student records, online courses, assessments, and education data standards. An LMS is software for managing courses and learners.

In plain words
What is it for?
Use it when designing or implementing learning platforms, virtual classrooms, assessment tools, student analytics, or integrations using standards such as SCORM, xAPI, LTI, or QTI.
Why use it?
It provides domain context for building education software where course delivery, grades, accessibility, and interoperability matter.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when designing or implementing learning platforms, virtual classrooms, assessment tools, student analytics, or integrations using standards such as SCORM, xAPI, LTI, or QTI.

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Install with agentmods
npx agentmods add skills/personamanagmentlayer/pcl/education-expert
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add personamanagmentlayer/pcl --skill education-expert
Clone the repo
git clone --depth 1 https://github.com/personamanagmentlayer/pcl

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for education-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/education-expert/github.svg)](https://agentmods.dev/skills/personamanagmentlayer/pcl/education-expert)
Your own site
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/education-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/education-expert/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for education-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/education-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/education-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,580 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 15 Feb 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.02580
Opus 5 $0.00023 $0.01290
Sonnet 5 $0.00009 $0.00516
Haiku 4.5 $0.00005 $0.00258

Measured 5d ago against content hash 6cc9597434b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

education-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

stdlib/domains/education-expert/SKILL.md · 414 lines

How it starts

The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Education Expert

Expert guidance for education technology, learning management systems, online learning platforms, and educational software development.

Core Concepts

Educational Technology

  • Learning Management Systems (LMS)
  • Student Information Systems (SIS)
  • Assessment and evaluation tools
  • Adaptive learning platforms
  • Virtual classrooms
  • Content management

Standards

  • SCORM (Sharable Content Object Reference Model)
  • xAPI (Experience API / Tin Can API)
  • LTI (Learning Tools Interoperability)
  • QTI (Question and Test Interoperability)
  • Accessibility (WCAG, Section 508)

Key Features

  • Course management
  • Grade tracking
  • Student analytics
  • Content delivery
  • Collaborative tools
  • Assessment engines

LMS Core Implementation

from dataclasses import dataclass
from typing import List, Optional
from datetime import datetime
from enum import Enum

class EnrollmentStatus(Enum):
    ACTIVE = "active"
    COMPLETED = "completed"
    DROPPED = "dropped"
    PENDING = "pending"

@dataclass
class Course:
    course_id: str
    title: str
    description: str
    instructor_id: str
    start_date: datetime
    end_date: datetime
    credits: int
    capacity: int
    syllabus_url: str
    prerequisites: List[str]

@dataclass
class Student:
    student_id: str
    first_name: str
    last_name: str
    email: str
    enrolled_date: datetime
    grade_level: str
    gpa: float

@dataclass
class Enrollment:
    enrollment_id: str
    student_id: str
    course_id: str
    enrollment_date: datetime
    status: EnrollmentStatus
    final_grade: Optional[float]

class LMSPlatform:
    """Learning Management System core functionality"""

    def __init__(self, db):
        self.db = db

    def enroll_student(self, student_id, course_id):
        """Enroll student in course"""
        course = self.db.get_course(course_id)
        current_enrollment = self.db.count_enrollments(course_id)

        # Check capacity
        if current_enrollment >= course.capacity:
            raise Exception("Course is full")

        # Check prerequisites
        if course.prerequisites:
            completed = self.get_completed_courses(student_id)
            if not all(prereq in completed for prereq in course.prerequisites):
                raise Exception("Prerequisites not met")

        enrollment = Enrollment(
            enrollment_id=generate_id(),
            student_id=student_id,
            course_id=course_id,
            enrollment_date=datetime.now(),
            status=EnrollmentStatus.ACTIVE,
            final_grade=None
        )

        return self.db.save_enrollment(enrollment)

    def get_student_transcript(self, student_id):
        """Generate student transcript"""
        enrollments = self.db.get_student_enrollments(student_id)
        transcript = []

        for enrollment in enrollments:
            if enrollment.status == EnrollmentStatus.COMPLETED:
                course = self.db.get_course(enrollment.course_id)
                transcript.append({
                    'course_code': course.course_id,
                    'course_name': course.title,
                    'credits': course.credits,
                    'grade': enrollment.final_grade,
                    'term': self.get_term(enrollment.enrollment_date)
                })

        return transcript

    def calculate_gpa(self, student_id):
        """Calculate student GPA"""
        transcript = self.get_student_transcript(student_id)
        total_points = 0
        total_credits = 0

        for record in transcript:
            if record['grade'] is not None:
                total_points += record['grade'] * record['credits']
                total_credits += record['credits']

        return total_points / total_credits if total_credits > 0 else 0.0

Read the full file on GitHub · 414 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 414 lines · 45 tokens per session scan A 6cc9597434b1

Subscribe to this mod's changes

education-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 45 tokens to every session and 2,580 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.