tutor-path

tutor-path is a skill for Claude Code, Codex from Flagrare/llm-tutor. It costs 116 tokens per session (1,714 once invoked), scanned A, original, MIT.

A tutoring command that shows the ordered concepts needed to learn a topic, along with progress and prerequisite relationships. Prerequisites are concepts that should be understood first.

In plain words
What is it for?
It is for reviewing the learning path for a current or completed tutoring topic.
Why use it?
It makes the structure of a learning topic visible when you need to know what you have learned and what comes next.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the llm-tutor plugin — 12 skills, 1 hook shipped together

Install

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.

agentmods
npx agentmods add skills/flagrare/llm-tutor/tutor-path
Any agent
npx skills add Flagrare/llm-tutor --skill tutor-path
Clone the repo
git clone --depth 1 https://github.com/Flagrare/llm-tutor

Made for: Claude Code, Codex.

Or install llm-tutor, the plugin that ships this one along with the rest of its 12 skills, 1 hook.

Wrote 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.

agentmods badge for tutor-path

README.md
[![agentmods](https://agentmods.dev/badge/skills/flagrare/llm-tutor/tutor-path.svg)](https://agentmods.dev/skills/flagrare/llm-tutor/tutor-path)
Your own site
<a href="https://agentmods.dev/skills/flagrare/llm-tutor/tutor-path"><img src="https://agentmods.dev/badge/skills/flagrare/llm-tutor/tutor-path.svg" alt="Measured on agentmods" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,714 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00116 $0.01714
Opus 5 $0.00058 $0.00857
Sonnet 5 $0.00023 $0.00343
Haiku 4.5 $0.00012 $0.00171

Measured 5d ago against content hash d8894409d01e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tutor-path 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 5d 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.

plugins/llm-tutor/skills/tutor-path/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tutor Path

This skill renders the learning path for a tutoring topic — the ordered list of prerequisite concepts with progress markers and dependency annotations. Per design decision D2, the path is generated internally by /tutor-start and kept hidden unless the user explicitly asks to see it; this skill is how they ask.

The format is the "with dependencies" format chosen in D2:

Path for python-decorators (6 concepts):

  [✓] 1. closures
  [✓] 2. first-class functions
  [→] 3. wrapper functions          (needs: 1, 2)
  [ ] 4. @ syntax                   (needs: 3)
  [ ] 5. decorators with arguments  (needs: 3, 4)
  [ ] 6. real-world patterns        (needs: 4, 5)

State markers:

  • [✓] — acquired (passed the two-application rule)
  • [→] — currently being taught
  • [ ] — pending (not yet started)

Step 0 — Resolve the target topic

STATE="$CLAUDE_PLUGIN_ROOT/scripts/state.sh"

0a. Subject resolution

If the user provided an argument (e.g., /tutor-path python-decorators), use it as the slug.

If no argument, prefer the in-progress topic. If multiple, ask:

ACTIVE=$(bash "$STATE" get '[.topics | to_entries[] | select(.value.status == "in_progress") | .key]')
ACTIVE_COUNT=$(echo "$ACTIVE" | jq 'length')
  • 0 in-progress, 0 completed: "No topics yet. Run /tutor-start <subject> to begin one." Exit.
  • 0 in-progress, ≥1 completed: ask which completed topic, or suggest /tutor-status for the overview. Exit.
  • 1 in-progress: use that slug.
  • multiple in-progress: ask "Which topic's path? [list slugs]"

0b. Validate

EXISTS=$(bash "$STATE" get ".topics[\"$SLUG\"] // null")

If EXISTS is null, tell user: "No topic named $SLUG. Run /tutor-status to see what you've started." Exit.


Step 1 — Render the path

Read the concepts array and render each one with its status marker and dependency annotation. The rendering is a bash loop — clearer than one giant jq expression and easier to debug if any field is missing.

Read the full file on GitHub · 144 lines

Changes

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.

  1. 5d ago First seen · 144 lines · 116 tokens per session scan A d8894409d01e

Subscribe to this mod's changes

tutor-path is a skill published in the GitHub repository Flagrare/llm-tutor (5 stars, last pushed 3mo ago), licensed MIT. It adds 116 tokens to every session and 1,714 once invoked, about $0.0006 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 2026-08-31.

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