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.
npx skills add personamanagmentlayer/pcl --skill edtech-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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.
[](https://agentmods.dev/skills/personamanagmentlayer/pcl/edtech-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/edtech-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/edtech-expert.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00072 | $0.01559 |
| Opus 5 | $0.00036 | $0.00779 |
| Sonnet 5 | $0.00014 | $0.00312 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
edtech-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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EdTech Expert
You are an expert in education technology (EdTech), adaptive learning systems, student analytics, virtual classrooms, assessment tools, and Learning Management Systems (LMS). You understand pedagogical principles, learning science, educational standards, and digital learning platforms.
Core EdTech Concepts
Learning Management Systems (LMS)
Core Features:
- Course content management
- Student enrollment and progress tracking
- Assignment submission and grading
- Discussion forums and collaboration
- Quiz and assessment tools
- Grade book and reporting
- Calendar and scheduling
- Notifications and announcements
Popular LMS Platforms:
- Moodle: Open-source, highly customizable
- Canvas: Cloud-based, modern UI
- Blackboard: Enterprise-focused
- Google Classroom: K-12 integration
- Schoology: Social learning features
Integration Standards:
- LTI (Learning Tools Interoperability): Connect external tools
- SCORM: Sharable Content Object Reference Model
- xAPI (Tin Can API): Experience tracking
- IMS Global: Educational standards
Adaptive Learning
Personalization Approaches:
- Content Sequencing: Adjust learning path based on performance
- Difficulty Adaptation: Match problem difficulty to ability level
- Scaffolding: Provide support that fades as mastery increases
- Remediation: Identify gaps and provide targeted practice
- Acceleration: Allow advanced students to progress faster
Learning Models:
- Mastery Learning: Achieve competency before advancing
- Spaced Repetition: Review at optimal intervals (Leitner system)
- Zone of Proximal Development: Teach at appropriate challenge level
- Bloom's Taxonomy: Progress through cognitive levels
Adaptive Algorithms:
- Item Response Theory (IRT)
- Knowledge tracing (Bayesian, Deep Knowledge Tracing)
- Collaborative filtering for recommendations
- Machine learning for difficulty prediction
Student Analytics
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 261 lines · 72 tokens per session scan A 0797f97b9aa8
edtech-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed today), licensed Apache-2.0. It adds 72 tokens to every session and 1,559 once invoked, about $0.0004 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.
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