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 ZeKaiNie/universal-examprep-skill --skill exam-tutorgit clone --depth 1 https://github.com/ZeKaiNie/universal-examprep-skillWrote 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/zekainie/universal-examprep-skill/exam-tutor)<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.
<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>- 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 | $0.00088 | $0.04854 |
| Opus 5.5 | $0.00035 | $0.01942 |
| Sonnet 5.5 | $0.00018 | $0.00971 |
| Haiku 4.5 | $0.00009 | $0.00485 |
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 2mo 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 — 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.jsonplus 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 generatedstudy_progress.mdcompatibility view.
Workflow
- Load one slice. Read
study_state.json.processing_modefirst. Inlightweight, calllightweight_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 withrecord-visual; teach only a schema-3visual_readybatch. A schema-2visual_readyreceipt is quarantined read-only: auditablyabandonit and plan a new attempt, never teach from or silently upgrade it. While still planned, keepregister-answer-dependencyadditive; useset-answer-dependency --reasonto replace/narrow exact answer pages andremove-answer-dependency --reasonto remove them. Do not call ingestion/OCR, preload later pages, or require a wiki. Infull, read exactly one currentreferences/wiki/chN_*.md. A missing full-mode file means abstain, name it, and never improvise. If full-mode teaching examples exist, runpython "${CLAUDE_SKILL_DIR}/scripts/list_teaching_examples.py" --workspace <ws> --chapter <N> --jsonand use only its returned slice. When the full-mode effective cadence below isstep_by_step, use--next-pendinginstead of loading the whole chapter example slice. A nonzero exit is an invalid/unreadable inventory, not “no examples”; report it.
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.
- 2mo ago First seen · 183 lines · 88 tokens per session scan A b8f41a5ff53d
exam-tutor is a skill published in the GitHub repository ZeKaiNie/universal-examprep-skill (364 stars, last pushed 5d ago), licensed MIT. It adds 88 tokens to every session and 4,854 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.
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