A teaching workflow for learning one chapter from a study wiki at a time, using everyday comparisons and step-by-step explanations of formulas and important questions. TDD is not involved here; the material concerns guided study and exam preparation.

Teaching a selected chapter, explaining formulas, working through diagram-based questions, and tracking study progress.

It limits reading to the current chapter, which helps keep lessons focused and avoids loading the entire study wiki at once.

exam-tutor — Skill for Claude Code by ZeKaiNie

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.

Any agent

npx skills add ZeKaiNie/universal-examprep-skill --skill exam-tutor

Clone the repo

git clone --depth 1 https://github.com/ZeKaiNie/universal-examprep-skill

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zekainie/universal-examprep-skill/exam-tutor/github.svg)](https://agentmods.dev/skills/zekainie/universal-examprep-skill/exam-tutor)

Your own site

<a href="https://agentmods.dev/skills/zekainie/universal-examprep-skill/exam-tutor"><img src="https://agentmods.dev/badge/skills/zekainie/universal-examprep-skill/exam-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zekainie/universal-examprep-skill/exam-tutor"><img src="https://agentmods.dev/badge/skills/zekainie/universal-examprep-skill/exam-tutor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,854 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00088	$0.04854
Opus 5	$0.00044	$0.02427
Sonnet 5	$0.00018	$0.00971
Haiku 4.5	$0.00009	$0.00485

Measured 10d ago against content hash b8f41a5ff53d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

exam-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 10d 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.

full/skills/exam-tutor/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

exam-tutor — chapter teaching

Purpose

Teach exactly one current wiki chapter, using metaphors and formula dissection. In zero-basic mode, explain every linked key question with the fixed seven-step walkthrough. Run algorithms before rendering diagrams. This skill teaches; exam-quiz alone quizzes and scores.

Activation

Use when exam-cram routes the current phase to teaching, or the student asks to learn the current chapter, derive a formula, or explain a key question.

Inputs

In processing_mode=lightweight: one schema-3 visually accepted current-page batch from .lightweight/session.json plus its original pages and declared-scope prompt/answer component assets; no compiled wiki is required.
references/wiki/chN_*.md: the one current chapter; never read the whole wiki.
references/teaching_examples.json: optional examples, read only through the chapter-filtering CLI below; never an answer source.
study_state.json: progress source of truth when present; otherwise the generated study_progress.md compatibility view.

Workflow

Load one slice. Read study_state.json.processing_mode first. In lightweight, call lightweight_session.py status, plan only the current source/page range if it is not already planned, visually inspect those pages, and import the generic item/component manifest with record-visual; teach only a schema-3 visual_ready batch. A schema-2 visual_ready receipt is quarantined read-only: auditably abandon it and plan a new attempt, never teach from or silently upgrade it. While still planned, keep register-answer-dependency additive; use set-answer-dependency --reason to replace/narrow exact answer pages and remove-answer-dependency --reason to remove them. Do not call ingestion/OCR, preload later pages, or require a wiki. In full, read exactly one current references/wiki/chN_*.md. A missing full-mode file means abstain, name it, and never improvise. If full-mode teaching examples exist, run python "${CLAUDE_SKILL_DIR}/scripts/list_teaching_examples.py" --workspace <ws> --chapter <N> --json and use only its returned slice. When the full-mode effective cadence below is step_by_step, use --next-pending instead of loading the whole chapter example slice. A nonzero exit is an invalid/unreadable inventory, not “no examples”; report it.

Read the full file on GitHub · 183 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.

10d ago First seen · 183 lines · 88 tokens per session scan A b8f41a5ff53d

Subscribe to this mod's changes

exam-tutor is a skill published in the GitHub repository ZeKaiNie/universal-examprep-skill (281 stars, last pushed 8d ago), licensed MIT. It adds 88 tokens to every session and 4,854 once invoked, about $0.0004 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.

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