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 skills/kirilxd/claude-tutor/resourcesnpx skills add kirilxd/claude-tutor --skill resourcesgit clone --depth 1 https://github.com/kirilxd/claude-tutorWrote 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/kirilxd/claude-tutor/resources)<a href="https://agentmods.dev/skills/kirilxd/claude-tutor/resources"><img src="https://agentmods.dev/badge/skills/kirilxd/claude-tutor/resources.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 5.1 | $0.00097 | $0.00698 |
| Opus 5 | $0.00048 | $0.00349 |
| Sonnet 5 | $0.00019 | $0.00140 |
| Haiku 4.5 | $0.00010 | $0.00070 |
Grade A, and why
resources 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 6d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resources — Curated Learning Materials
ALWAYS use the AskUserQuestion tool when asking the user questions, in any context. If you have too many questions for the tool, split them up into multiple calls.
Overview
Provide curated external resources for a topic, either from an existing learning plan or via fresh web research. Group by type, note free vs paid, and organize by module when a plan exists.
Data Schemas
The resources skill reads data written by the learn skill. Here are the formats:
index.json (~/.claude/learning/index.json) — look up topics[slug].planFile to find the plan path.
Plan files (~/.claude/learning/plans/<slug>-<date>.json) — contain modules[], each with resources[] where each resource has title, url, type (docs|video|tutorial|book|course), and free (boolean).
Process
Step 1: Check for Existing Plan
Read ~/.claude/learning/index.json and look for the requested topic.
If a plan exists:
- Read the plan JSON from
~/.claude/learning/plans/[file] - Extract all resources organized by module
- Present them grouped by type within each module
If no plan exists:
- Perform fresh web research (3-5 searches, same as the learn skill's research phase)
- Curate and present results
Step 2: Present Resources
With existing plan — organize by module:
── Resources: [Topic] ────────────────────────────
### Module 1: [Title]
📖 Documentation
• [Title] — [url]
[one-line description if helpful]
🎥 Videos & Courses
• [Title] — [url] (free|$paid)
📝 Tutorials
• [Title] — [url]
📚 Books
• [Title] — [author] (free|$paid)
### Module 2: [Title]
...
──────────────────────────────────────────────────
Without plan — organize by type:
── Resources: [Topic] ────────────────────────────
📖 Official Documentation
• ...
🎥 Video Courses
• ...
📝 Tutorials & Articles
• ...
📚 Books
• ...
💡 Tip: Use /learn [topic] to create a structured learning
plan that organizes these resources into modules.
──────────────────────────────────────────────────
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.
- 6d ago First seen · 93 lines · 97 tokens per session scan A fad3a53eb08b
resources is a skill published in the GitHub repository kirilxd/claude-tutor (123 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 698 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
tutor
Use when the user wants to learn, study, or understand a topic — triggered by requests to teach, tutor, explain concepts, quiz, drill, or build understanding of any subject.
reading-metaskill
当用户想养成阅读习惯、问「读什么书/怎么读」「如何学习新领域/怎么入门某学科」时调用。 核心理念: 阅读是终极元技能; 读你所爱直到爱上阅读, 没有读完义务; 读原著与经典优先; 以教促学; 每天1-2小时即可进入极少数人行列。 不适用于: 具体某本书的书评、考试备考资料选择。 Triggers: 阅读/读书/怎么学习/入门/原著/书单/reading/how to learn.
textbook-distillation
Turn a textbook or long-form source into a self-paced learning track: chapter map, lesson plan, then self-contained HTML lecture notes (styled as the human specifies) with worked examples, exercises, and checkpoint questions. Read this for "lecture notes" / "study notes" / "course" / "syllabus" requests from a…
learning-and-development
Builds capability — skills gaps, career frameworks, training that transfers to the job, and internal mobility. Use this to design a career ladder, close a capability gap, decide whether to build or hire a skill, structure onboarding into a role, or work out why training keeps failing to change anything.
learning-notes-automation
学习笔记自动化：视频/播客转录 → 知识点提取 → 闪卡生成 → 知识图谱更新。触发词：学习笔记、闪卡、Anki、知识提取、视频学习.
antivibe
Code learning and audit framework. Analyze any codebase — new, legacy, or AI-generated — and produce educational explanations or architectural audits. Use when the user wants to understand WHAT and WHY behind any code, not just accept it.