备考教练的一屏速查卡:工作流、3×4 学习选择、产物偏好、工作区文件、6 大题型、来源规则与子技能路由. An agent skill from ZeKaiNie/universal-examprep-skill.

MITAuto-check passedEducation

Install Exam Help

skills CLI
$ npx skills add ZeKaiNie/universal-examprep-skill --skill exam-help -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZeKaiNie/universal-examprep-skill exam-help --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZeKaiNie/universal-examprep-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/full/skills/exam-help .claude/skills/exam-help && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
exam-help
GitHub stars
303
Token cost
~1.3k tokens
SKILL.md length
585 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

备考教练的一屏速查卡:工作流、3×4 学习选择、产物偏好、工作区文件、6 大题型、来源规则与子技能路由. An agent skill from ZeKaiNie/universal-examprep-skill.

  • Works in 3 steps: Emit the matching static language-pack… → Read no wiki, bank, plan, progress, or… → Stop without tutoring, quizzing,…
  • Tasks that involve Study guides and flashcards
  • SKILL.md covers Purpose, Activation, Inputs and Workflow, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Exam Help is an agent skill from ZeKaiNie/universal-examprep-skill. 备考教练的一屏速查卡:工作流、3×4 学习选择、产物偏好、工作区文件、6 大题型、来源规则与子技能路由。 用户问怎么用、有哪些模式、文件用途或支持题型时使用。

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Education, covering Study guides and flashcards. The repository describes itself as: Exam Cram Coach · 跨会话记忆与讲义溯源防幻觉的极速备考教练 | AI exam-prep tutor for Claude Code, Cursor, Codex, Antigravity: teaches from slides with page citations, crops figures, quizzes with real…. The licence is MIT.

When your agent uses it

  • Tasks that involve Study guides and flashcards

Example prompts

  • “/exam-help”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Emit the matching static language-pack card: persisted zh, en, or bilingual, otherwise an explicit ad-hoc request.
  2. Read no wiki, bank, plan, progress, or workspace file; run no script/subskill.
  3. Stop without tutoring, quizzing, ingesting, grading, or initialization.

What it can do on your machine

Read from SKILL.md and the folder at commit b9e84f5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Exam Help loads about 1.3k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 585 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ZeKaiNie/universal-examprep-skill at commit b9e84f5, republished under its MIT licence (© ZeKaiNie). 585 words, ~1,267 tokens.

Download SKILL.mdSave it as .claude/skills/exam-help/SKILL.md (or your agent's skills folder).
name
exam-help
description
备考教练的一屏速查卡:工作流、3×4 学习选择、产物偏好、工作区文件、6 大题型、来源规则与子技能路由。 用户问怎么用、有哪些模式、文件用途或支持题型时使用。
license
MIT

exam-help — quick-reference card

Purpose

Render one read-only card covering the validated workflow, three modes, four time tiers, lightweight|full, chat|visual, workspace truth/views, six quiz types, provenance, and subskill routing.

Activation

Use only when the student asks how the suite works, which modes/types exist, or what workspace files mean.

Inputs

No files, arguments, or state reads. The caller supplies the selected language.

Workflow

  1. Emit the matching static language-pack card: persisted zh, en, or bilingual, otherwise an explicit ad-hoc request.
  2. Read no wiki, bank, plan, progress, or workspace file; run no script/subskill.
  3. Stop without tutoring, quizzing, ingesting, grading, or initialization.

The card must say:

  • processing_mode=lightweight is the default/recommended startup choice. It inventories names, then visually processes only the current-phase PDF pages or definitely single-frame PNG/JPEG/BMP (maximum eight primary pages and one active batch). Overview contact sheets group at most four pages at roughly 768 px/tile; page/prompt/dependency detail and target-answer-only solution calls use source-qualified locations and canonical PNG evidence under .lightweight/assets/. Bind exact external answer pages with register-answer-dependency; dependency pages are locator/detail only. Figure prompt/answer crops stay distinct. An unfinished batch can close only through receipt-backed abandon --reason; taught progress cannot be abandoned, while replace-taught --reason preserves it as superseded history and plans an exact-slice successor. It keeps the page-batch / progress state machines and creates no Study Guide/PDF. processing_mode=full is explicit opt-in and opens the complete ingestion/review route. Input-token savings never shorten the teaching explanation.
  • artifact_mode is independent from processing intensity and never inferred from subscription. Missing/legacy/unknown means chat. In full mode, chat stops without PDF while standing visual additionally requires typed Guide, render, receipt hashes, every-page QA, and artifact_ready=ready. A one-shot artifact leaves stored state unchanged. In lightweight, a saved visual preference is dormant and effective output remains chat; it never builds a Study Guide.
  • answer_explanation_mode is also independent. Its stored-schema fallback is ordinary, and every full-Guide item still gets a detailed beginner-first explanation. At full-v2 Guide entry, a verified host-native child with a fresh independent context plus exact single-item input/tool restrictions makes isolated the default unless the learner opted out; tell the learner once about extra host quota/time, with no second API key or external upload. Missing or incomplete capability stays ordinary and is stated honestly. A separately billed external Provider is explicit-request-only and retains no-upload planning, current pricing/privacy disclosure, and exact-plan upload consent. A model name, subscription, key, full, or visual alone proves neither route.
  • ingest_course.py is the full-mode build entry; exit 10 is process success with blocked readiness, and teaching remains forbidden. .ingest/ is full-mode build/review truth, .lightweight/session.json is on-demand page-batch truth, study_state.json is progress truth, and Markdown is a generated view.
  • Lightweight completion uses current-phase taught-batch/notebook events and skips typed Guide/full-build evidence; superseded predecessors/events remain history but leave the current denominator. verified needs revision-bound checkpoints from an unchanged bank that pre-existed lightweight initialization; startup captures only its immutable stat baseline. Routine health checks use metadata/physical identity, not stream hashes; exact hashes occur at transitions/completion or explicit status --verify-live. Older taught history is unchecked_historical until that phase is resumed.
  • MinerU, Docling, and LangGraph are named-request-only and remote/cloud-only. Never download, install, probe, import, or execute them locally.
  • Provenance is exact: 🟢 来自资料 / 🟡 AI补充,可能与你老师讲的不完全一致 / ⚠️ AI生成答案,非老师/教材提供.
Show full SKILL.md (60 more words)Show less

Output Contract

Output exactly one help card and mutate nothing. Student prose is English by default, Simplified Chinese for a Chinese opening, or explicit bilingual composition.

Language packs

Display aliases are normalized to zh, en, or bilingual.

Boundaries

This card is read-only. Route actual review to exam-cram.

© ZeKaiNie, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in full/skills/exam-help of ZeKaiNie/universal-examprep-skill.

Open the folder on GitHubat commit b9e84f5

Compare with similar skills

Exam Help next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Exam Help compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Exam Help this skillZeKaiNie/universal-examprep-skill303—~1.3kAutomated safety check: PassMIT
Deep Reading Analystginobefun/deep-reading-analyst-skill3534 repos~3.6kAutomated safety check: PassMIT
NihaishaJuneYaooo/nihaisha-nishi-tcm2.2k—~4kAutomated safety check: PassNone
Claude Certification Tutorrohitg00/ai-engineering-from-scratch66k—~3kAutomated safety check: PassMIT
StudyVault Quiz Tutorbevibing/tutor-skills1.3k—~1.4kAutomated safety check: PassMIT
Project Mastery Coachtudoumashu/ai-memory-skillpack443—~1.8kAutomated safety check: PassMIT

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Categories

Questions about Exam Help

What does Exam Help do?

备考教练的一屏速查卡:工作流、3×4 学习选择、产物偏好、工作区文件、6 大题型、来源规则与子技能路由. An agent skill from ZeKaiNie/universal-examprep-skill. Exam Help is an agent skill from ZeKaiNie/universal-examprep-skill.

When should I use Exam Help?

Exam Help fits situations like: tasks that involve Study guides and flashcards.

How do I install Exam Help in Claude Code?

Run `npx skills add ZeKaiNie/universal-examprep-skill --skill exam-help -a claude-code`. Or copy the skill folder (full/skills/exam-help in ZeKaiNie/universal-examprep-skill) into .claude/skills/exam-help in your project. Claude Code loads it when a task matches its description.

How do I install Exam Help in Codex?

Run `npx skills add ZeKaiNie/universal-examprep-skill --skill exam-help -a codex`. Or copy the skill folder (full/skills/exam-help in ZeKaiNie/universal-examprep-skill) into .agents/skills/exam-help in your project. Codex loads it when a task matches its description.

Can I use Exam Help in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZeKaiNie/universal-examprep-skill --skill exam-help -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/exam-help, .gemini/skills/exam-help, .github/skills/exam-help and .opencode/skills/exam-help in your project.

What does Exam Help need to run?

SKILL.md names no scripts, command-line tools or credentials: Exam Help is instructions for the agent only.

Does Exam Help access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Exam Help safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Exam Help use?

Exam Help is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Exam Help use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Exam Help?

Skills that share tags, products or a category with Exam Help: Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars), Nihaisha (JuneYaooo/nihaisha-nishi-tcm, 2.2k stars), Claude Certification Tutor (rohitg00/ai-engineering-from-scratch, 66k stars) and StudyVault Quiz Tutor (bevibing/tutor-skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Exam Help?

ZeKaiNie (a GitHub user) maintains it in ZeKaiNie/universal-examprep-skill, which has 303 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 28, 2026.

Source: ZeKaiNie/universal-examprep-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.