exam-help

exam-help is a skill for Claude Code, Codex from ZeKaiNie/universal-examprep-skill. It costs 62 tokens per session (1,180 once invoked), scanned A, original, MIT.

A one-screen reference card for an exam-preparation suite. It explains the available study modes, time limits, workspace files, question types, source rules, and task routing.

In plain words
What is it for?
It is for learning which study mode to choose, what workspace files mean, which quiz types exist, and which focused task handles a request.
Why use it?
It gives quick answers about how the suite works without reading study materials or changing progress.

Skill for Claude CodeCodex

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

Good fit It is for learning which study mode to choose, what workspace files mean, which quiz types exist, and which focused task handles a request.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zekainie/universal-examprep-skill/exam-help
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-help
Clone the repo
git clone --depth 1 https://github.com/ZeKaiNie/universal-examprep-skill

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-help

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/zekainie/universal-examprep-skill/exam-help"><img src="https://agentmods.dev/badge/skills/zekainie/universal-examprep-skill/exam-help.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,180 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 $0.00062 $0.01180
Opus 5 $0.00031 $0.00590
Sonnet 5 $0.00012 $0.00236
Haiku 4.5 $0.00006 $0.00118

Measured 9d ago against content hash 1b20be421ff9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

exam-help 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 9d 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-help/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 92 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. 9d ago First seen · 92 lines · 62 tokens per session scan A 1b20be421ff9

Subscribe to this mod's changes

exam-help is a skill published in the GitHub repository ZeKaiNie/universal-examprep-skill (281 stars, last pushed 7d ago), licensed MIT. It adds 62 tokens to every session and 1,180 once invoked, about $0.0003 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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