exam-study-guide

exam-study-guide is a skill for Claude Code, Codex from ZeKaiNie/universal-examprep-skill. It costs 113 tokens per session (6,442 once invoked), scanned A, original, MIT.

A study-guide builder for a completed exam chapter that has not yet passed its required checks. It creates a structured teaching checklist and, in full mode, a self-contained HTML and printable PDF guide with readable formulas, visible images, explanations, examples, and answers.

In plain words
What is it for?
Use it to prepare beginner-friendly chapter handouts covering lectures, homework, quizzes, mock exams, past exams, or textbook examples, with worked solutions and source references.
Why use it?
It turns scattered chapter materials into an auditable learning resource while preserving the original notes and question sources. It also addresses common problems such as raw LaTeX formulas or missing images.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/study_guide_author.py --workspace <ws> prepare --chapter <N> --json.

Good fit Use it to prepare beginner-friendly chapter handouts covering lectures, homework, quizzes, mock exams, past exams, or textbook examples, with worked solutions and source references.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/ZeKaiNie/universal-examprep-skill
agentmods
npx agentmods add skills/zekainie/universal-examprep-skill/exam-study-guide

Made for: Claude Code, Codex.

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 exam-study-guide

README.md
[![agentmods](https://agentmods.dev/badge/skills/zekainie/universal-examprep-skill/exam-study-guide/github.svg)](https://agentmods.dev/skills/zekainie/universal-examprep-skill/exam-study-guide)
Your own site
<a href="https://agentmods.dev/skills/zekainie/universal-examprep-skill/exam-study-guide"><img src="https://agentmods.dev/badge/skills/zekainie/universal-examprep-skill/exam-study-guide/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.

agentmods 80×15 button for exam-study-guide

Your own site · 80×15
<a href="https://agentmods.dev/skills/zekainie/universal-examprep-skill/exam-study-guide"><img src="https://agentmods.dev/badge/skills/zekainie/universal-examprep-skill/exam-study-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,442 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00113 $0.06442
Opus 5.5 $0.00045 $0.02577
Sonnet 5.5 $0.00023 $0.01288
Haiku 4.5 $0.00011 $0.00644

Measured 1mo ago against content hash bb48ba987519, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

exam-study-guide 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 1mo 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-study-guide/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Exam Study Guide

Purpose

After teaching the current chapter, build its validated typed Study Guide manifest; in visual mode, compile that manifest into a readable, self-contained HTML Study Guide and printable PDF before phase completion. A Study Guide is a teaching artifact, not a dump of the wiki and bank: it groups knowledge points with every mapped lecture, homework, Quiz, mock-exam, past-exam, or textbook example and explains each one through formula selection, variable mapping, substitution, solution, a beginner-first explanation of why the answer follows, and source trace. Keep Markdown/JSON as auditable sources and never overwrite them with a derived artifact.

Activation

Require explicit study_state.json.processing_mode=full. Lightweight mode never invokes this module, even for a one-shot handout request; explain that Study Guide generation requires switching to full processing and reconfirming the start gate.

Use this module after the exam workspace/current chapter are confirmed and its substantive teaching is persisted, but before complete-phase in a structured workspace. Restore the current phase and effective artifact_mode from study_state.json before selecting <N>. chat still builds and imports the mandatory typed profile=full manifest, then stops without HTML/PDF; a recognized standing visual preference continues through rendering, receipt binding, and all-page QA. A direct one-shot handout request follows its explicit output scope without rewriting the stored preference. Never inspect or infer the student's subscription. Preserve the parent exam-coach language and provenance contracts in all chat summaries.

Inputs

  • Exactly one current-chapter references/wiki/chNN*.md file, used as source evidence rather than pasted wholesale.
  • Optional study_state.json; its canonical language-neutral language code (zh / en / bilingual; legacy/display aliases 中文 / English / 双语 migrate on read) controls all agent-generated headings, notices, explanations, labels, and summaries. Missing state follows the session default (English unless the student opened in Chinese); the script's Chinese empty-value fallback exists only for legacy workspaces and is not a new-session language decision.
  • The current-chapter slice of references/teaching_examples.json, every current-chapter entry in references/quiz_bank.json, and every typed current-chapter question unit, de-duplicated by item ID. A legacy gradable=false record remains a teaching example in the guide but is never served or graded as a quiz.
  • A substantive notebook/chNN.md plus the validated typed teaching manifest notebook/chNN.guide.json.
  • Workspace-local images under references/assets/ referenced by the typed manifest.
  • For ingestion-v2 workspaces, current validated .ingest/canonical_groups.jsonl and .ingest/source_conflicts.jsonl facts. These are revision-bound derived facts, not replacements for source occurrences or item/unit IDs. Do not preload unrelated chapters or hand-fold near matches.
  • For ingestion-v2, .ingest/claim_records.jsonl and the matching .ingest/claim_verification_receipts/chNN.json are mandatory typed-guide inputs. The validator recomputes them against the current manifest and live source/content/group/conflict facts. The receipt's fact_snapshot_sha256 also binds current build/parser/page-quality/review facts into its ID, so a parser identity revision requires re-verification even when content units are unchanged. Legacy/v1 compatibility is read-only for an existing canonical manifest and must not be described as having this v2 evidence. The receipt scope is location_only, never semantic proof.

Read the full file on GitHub · 167 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. 1mo ago First seen · 167 lines · 113 tokens per session scan A bb48ba987519

Subscribe to this mod's changes

exam-study-guide is a skill published in the GitHub repository ZeKaiNie/universal-examprep-skill (315 stars, last pushed 5d ago), licensed MIT. It adds 113 tokens to every session and 6,442 once invoked, about $0.0005 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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