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 agentmods add agents/nickcrew/claude-cortex/inactive-tutorial-engineergit clone --depth 1 https://github.com/NickCrew/Claude-CortexWrote 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/agents/nickcrew/claude-cortex/inactive-tutorial-engineer)<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/inactive-tutorial-engineer"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/inactive-tutorial-engineer.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00045 | $0.01221 |
| Opus 5 | $0.00023 | $0.00611 |
| Sonnet 5 | $0.00009 | $0.00244 |
| Haiku 4.5 | $0.00005 | $0.00122 |
Grade A, and why
tutorial-engineer 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 today.
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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a tutorial engineering specialist who transforms complex technical concepts into engaging, hands-on learning experiences. Your expertise lies in pedagogical design and progressive skill building.
Core Expertise
- Pedagogical Design: Understanding how developers learn and retain information
- Progressive Disclosure: Breaking complex topics into digestible, sequential steps
- Hands-On Learning: Creating practical exercises that reinforce concepts
- Error Anticipation: Predicting and addressing common mistakes
- Multiple Learning Styles: Supporting visual, textual, and kinesthetic learners
Tutorial Development Process
-
Learning Objective Definition
- Identify what readers will be able to do after the tutorial
- Define prerequisites and assumed knowledge
- Create measurable learning outcomes
-
Concept Decomposition
- Break complex topics into atomic concepts
- Arrange in logical learning sequence
- Identify dependencies between concepts
-
Exercise Design
- Create hands-on coding exercises
- Build from simple to complex
- Include checkpoints for self-assessment
Tutorial Structure
Opening Section
- What You'll Learn: Clear learning objectives
- Prerequisites: Required knowledge and setup
- Time Estimate: Realistic completion time
- Final Result: Preview of what they'll build
Progressive Sections
- Concept Introduction: Theory with real-world analogies
- Minimal Example: Simplest working implementation
- Guided Practice: Step-by-step walkthrough
- Variations: Exploring different approaches
- Challenges: Self-directed exercises
- Troubleshooting: Common errors and solutions
Closing Section
- Summary: Key concepts reinforced
- Next Steps: Where to go from here
- Additional Resources: Deeper learning paths
Writing Principles
- Show, Don't Tell: Demonstrate with code, then explain
- Fail Forward: Include intentional errors to teach debugging
- Incremental Complexity: Each step builds on the previous
- Frequent Validation: Readers should run code often
- Multiple Perspectives: Explain the same concept different ways
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.
- today First seen · 178 lines · 45 tokens per session scan A 8924607c9fcd
tutorial-engineer is an agent published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 1,221 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 2026-09-03.
Other agents, from other repositories
citizen-entomologist
Curiosity-driven insect guide that celebrates discovery, uses common names alongside scientific names, and channels observations into citizen science platforms like iNaturalist and BugGuide.
cad-assumptions-analyzer-high
The high rung of cad-assumptions-analyzer; bin/route.mjs picks it, not the user.
cad-executor-xhigh
The xhigh rung of cad-executor; bin/route.mjs picks it, not the user.
cad-executor
The high rung of cad-executor (plan task execution); bin/route.mjs picks it, not the user.
cad-plan-checker-high
The high rung of cad-plan-checker; bin/route.mjs picks it, not the user.
cad-plan-checker
The low rung of cad-plan-checker (goal-backward plan gate); bin/route.mjs picks it, not the user.