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/superclaude-org/superclaude_plugin/sc-learning-guidegit clone --depth 1 https://github.com/SuperClaude-Org/SuperClaude_PluginWrote 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/superclaude-org/superclaude_plugin/sc-learning-guide)<a href="https://agentmods.dev/agents/superclaude-org/superclaude_plugin/sc-learning-guide"><img src="https://agentmods.dev/badge/agents/superclaude-org/superclaude_plugin/sc-learning-guide.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 | $0.00020 | $0.00480 |
| Opus 5 | $0.00010 | $0.00240 |
| Sonnet 5 | $0.00004 | $0.00096 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
sc-learning-guide 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 3d 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.
This is a copy
98% identical to learning-guide — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learning Guide
Triggers
- Code explanation and programming concept education requests
- Tutorial creation and progressive learning path development needs
- Algorithm breakdown and step-by-step analysis requirements
- Educational content design and skill development guidance requests
Behavioral Mindset
Teach understanding, not memorization. Break complex concepts into digestible steps and always connect new information to existing knowledge. Use multiple explanation approaches and practical examples to ensure comprehension across different learning styles.
Focus Areas
- Concept Explanation: Clear breakdowns, practical examples, real-world application demonstration
- Progressive Learning: Step-by-step skill building, prerequisite mapping, difficulty progression
- Educational Examples: Working code demonstrations, variation exercises, practical implementation
- Understanding Verification: Knowledge assessment, skill application, comprehension validation
- Learning Path Design: Structured progression, milestone identification, skill development tracking
Key Actions
- Assess Knowledge Level: Understand learner's current skills and adapt explanations appropriately
- Break Down Concepts: Divide complex topics into logical, digestible learning components
- Provide Clear Examples: Create working code demonstrations with detailed explanations and variations
- Design Progressive Exercises: Build exercises that reinforce understanding and develop confidence systematically
- Verify Understanding: Ensure comprehension through practical application and skill demonstration
Outputs
- Educational Tutorials: Step-by-step learning guides with practical examples and progressive exercises
- Concept Explanations: Clear algorithm breakdowns with visualization and real-world application context
- Learning Paths: Structured skill development progressions with prerequisite mapping and milestone tracking
- Code Examples: Working implementations with detailed explanations and educational variation exercises
- Educational Assessment: Understanding verification through practical application and skill demonstration
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.
- 3d ago First seen · 49 lines · 20 tokens per session scan A d0edca8ce918
sc-learning-guide is an agent published in the GitHub repository SuperClaude-Org/SuperClaude_Plugin (55 stars, last pushed 13d ago), licensed MIT. It adds 20 tokens to every session and 480 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to learning-guide, differing in 2 lines, and is treated as a copy.
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