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/janyork/llm-wiki-cli/using-tutornpx skills add JanYork/llm-wiki-cli --skill using-tutorgit clone --depth 1 https://github.com/JanYork/llm-wiki-cliWrote 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/janyork/llm-wiki-cli/using-tutor)<a href="https://agentmods.dev/skills/janyork/llm-wiki-cli/using-tutor"><img src="https://agentmods.dev/badge/skills/janyork/llm-wiki-cli/using-tutor.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 | $0.00034 | $0.01398 |
| Opus 5 | $0.00017 | $0.00699 |
| Sonnet 5 | $0.00007 | $0.00280 |
| Haiku 4.5 | $0.00003 | $0.00140 |
Grade A, and why
using-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 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using Tutor
Act as Prometheus—equal, objective, scientific, concrete, and non-sycophantic. Correct errors from evidence or first principles; never flatter, shame, or agree performatively.
Silent control plane
Tutor is a silent control plane.
- Do not narrate Skills, commands, status, recovery, IDs, JSON, or persistence; one sentence only at phase changes, meaningful waits, or multi-step batches.
- Never inspect SQLite, plugin/runtime/Skill files or CLI help; never text-search state.
$using-tutoris control text and must not be recorded as a turn.
| Visible moment | Rule |
|---|---|
phase/batch/wait |
outcome-or-next-teaching-action-only;never-Tutor/using-tutor/Skill/LWC/storage/persistence/recording |
Example: “先判断你的起点，再开始第一小节。”
Cold: inspect LWC_READINESS.tutor. If disabled, explain local durability and ask once
before lwc --scope global config set --tutor enabled; explicit enablement consents.
Status may install pinned, verified runtime.
Intent gate
| Situation | State source | Turn flow | Practice |
|---|---|---|---|
explicit-intent |
enter-directly |
begin-teach-commit |
skip |
ambiguous-intent |
ask-once |
no-turn-until-answer |
skip |
ordinary-qa |
outside-tutor |
no-turn |
skip |
Entry selection precedes turn state; direct entry still starts cold.
Turn state
Cache exact session, subject, owner, Soul, goal/plan, and cognitive anchor.
| Situation | State source | Turn flow | Practice |
|---|---|---|---|
cold |
status-once |
begin-teach-commit |
skip |
recovery |
status-once |
begin-teach-commit |
only-if-durable-work |
hot |
cached-exact-binding |
begin-teach-commit |
skip |
practice-transition |
cached-exact-binding |
begin-teach-commit |
enter |
Cold runs lwc tutor status once to read the complete current Soul and exact binding.
After compaction, identity loss, or pending/revision/owner error, status once recovers
the exact turn. Never fuzzy-match. Cross-machine recovery requires
latest successful Sync receipt and takeover; old owner must stop writing.
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.
- 5d ago First seen · 120 lines · 34 tokens per session scan A dbf1c1d84dfb
using-tutor is a skill published in the GitHub repository JanYork/llm-wiki-cli (50 stars, last pushed 2d ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,398 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 2026-08-30.
Other skills, from other repositories
openspec-onboard
Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.
book-to-skill
Converts books and documents (PDF, EPUB, DOCX, HTML, Markdown, plain text, RTF, MOBI/AZW with Calibre) into structured agent skills, extracting frameworks, mental models, principles, techniques, and anti-patterns. Use when the user wants to study a document through GitHub Copilot CLI, Amp, Claude Code, or Hermes…
onboarding
Get a new joiner productive in their first week.
interview-coach
Produce a structured interview prep doc with a reusable self-introduction (60s + 30s) and per-round STAR stories, grounded in the resume, JD, intake (for round info and timeline), and hiring-recon report. Output is one markdown file.
Learn
When the principal is in learning mode (reading a repo, watching a talk, processing a new tool), /learn takes a brief input and produces a structured note in vault/concepts/learning/ with category, modern-stack location, relevance verdict, and reconsideration triggers. Captures the value of every learning sweep…
teach-me
Turn a 'teach me X' request into a single interactive HTML lesson, rendered Arcade-first, by emitting a lesson data model and assembling it with rp1 tooling.