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 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/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.
<a href="https://agentmods.dev/skills/kirilxd/claude-tutor/resources"><img src="https://agentmods.dev/badge/skills/kirilxd/claude-tutor/resources.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00097 | $0.00698 |
| Opus 5.5 | $0.00039 | $0.00279 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo ago First seen · 93 lines · 97 tokens per session scan A fad3a53eb08b
resources is a skill published in the GitHub repository kirilxd/claude-tutor (143 stars, last pushed 3mo ago), licensed MIT. It adds 97 tokens to every session and 698 once invoked, about $0.0004 per session on Opus 5.5. 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
A reading and learning guide based on building a regular reading habit, choosing books, and understanding difficult subjects through original works and explanation.
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.
diagnose
A short question-based assessment of a pilot's current skill level. It produces a profile and saves it in the connected browser or database.
shikhu-study
Tutor the user through a source file with a cached summary, a guided walkthrough, and free-form Q&A — then persist a review record so future quizzes know what was covered.
deep-student-cloud-sync-e2e
Run real, UI-driven Deep Student cloud sync E2E tests. Use when Codex needs to validate WebDAV/cloud sync, backup, restore, credentials, conflict behavior, multi-device synchronization, or sync regressions through real Tauri UI operations followed by SQLite/WebDAV/log verification.