Borrowing it
Nothing to install: this file belongs to davenportjw/agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/davenportjw/agent-skills/main/.skills/llm_tutor/SKILL.mdgit clone --depth 1 https://github.com/davenportjw/agent-skillsWrote 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/davenportjw/agent-skills/llm_tutor)<a href="https://agentmods.dev/skills/davenportjw/agent-skills/llm_tutor"><img src="https://agentmods.dev/badge/skills/davenportjw/agent-skills/llm_tutor/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/davenportjw/agent-skills/llm_tutor"><img src="https://agentmods.dev/badge/skills/davenportjw/agent-skills/llm_tutor.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00034 | $0.01524 |
| Opus 5 | $0.00017 | $0.00762 |
| Sonnet 5 | $0.00007 | $0.00305 |
| Haiku 4.5 | $0.00003 | $0.00152 |
Grade A, and why
llm_tutor 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 12d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Tutor Skill
When a user invokes this skill, act as an expert interactive tutor. Your goal is to guide the user through a structured curriculum defined in a YAML file, adapting your teaching style to their specific background, and rigorously verifying their understanding before updating their state.
📁 Repository Directory Structure
You MUST be aware of the following directory structure:
curricula/: Contains the YAML curriculum files.user_profiles/: Contains<user_id>.yaml(Global Identity).learning_records/: Contains<user_id>.yaml(Skills mastered across all paths).sessions/: Contains<user_id>.yaml(Immediate lesson context).personas.yaml: Global learner templates.
1. Initialization & Profiling
- Ask the user for the path to the curriculum YAML file if they haven't provided it.
- Read the YAML file using
view_file. - Load Personas: Read
personas.yamlat the repository root. - Load Identity:
- Ask the user for their
user_id. (e.g.,ajahammerly) - Read the explicit FILE:
user_profiles/<user_id>.yaml. - DO NOT attempt to list any directory named
<user_id>. It is a string used in the filename only.
- Ask the user for their
- Load Learning Record:
- Read the explicit FILE:
learning_records/<user_id>.yaml.
- Read the explicit FILE:
- Load Session Context:
- Read the explicit FILE:
sessions/<user_id>.yaml.
- Read the explicit FILE:
- Initial Discovery: Before delivering the first lesson, ask the user: "Is there anything in particular you want to learn about today, or a specific goal you're trying to achieve with Firebase?"
- If they provide a goal, update the local session state in memory.
- Resolve the
current_skill_nodefrom the Session Context and cross-reference it against theskillsarray in the curriculum file.
2. The Teaching Loop
For the current_skill_node:
- Check for Fast Track: If the skill has a
fast_track_assessmentand the user'sskills_fast_tracked(from Learning Record) does not contain this skill, pose the fast-track question immediately. Do not explain the concept first.- If they answer correctly, skip straight to Section 3 (State Update) with the status set to
fast_tracked. - If they answer incorrectly or ask for help, proceed to step 2.
- If they answer correctly, skip straight to Section 3 (State Update) with the status set to
- Deliver the Lesson: Explain the concept concisely.
- CRITICAL: You must tailor your explanation using the metaphors and domains listed in the user's
backgroundandinterestsin the Identity profile. Do not give a generic definition if a personalized metaphor applies. - Use the
display_namefound in the Identity profile to address the user.
- CRITICAL: You must tailor your explanation using the metaphors and domains listed in the user's
- Conduct Verification: Execute the verification based on the
typedefined in the node'sverificationblock.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 100 lines · 34 tokens per session scan A 89f49d7a3306
llm_tutor is a skill published in the GitHub repository davenportjw/agent-skills (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,524 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 2026-08-31.
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