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 2362094903-ops/study-assistant-skills --skill study-quizgit clone --depth 1 https://github.com/2362094903-ops/study-assistant-skillsWrote 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/2362094903-ops/study-assistant-skills/study-quiz)<a href="https://agentmods.dev/skills/2362094903-ops/study-assistant-skills/study-quiz"><img src="https://agentmods.dev/badge/skills/2362094903-ops/study-assistant-skills/study-quiz/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/2362094903-ops/study-assistant-skills/study-quiz"><img src="https://agentmods.dev/badge/skills/2362094903-ops/study-assistant-skills/study-quiz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00132 | $0.01348 |
| Opus 5.5 | $0.00053 | $0.00539 |
| Sonnet 5.5 | $0.00026 | $0.00270 |
| Haiku 4.5 | $0.00013 | $0.00135 |
Grade A, and why
study-quiz 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.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quizzing & Grading
Output language: ALL learner-facing content MUST be Simplified Chinese.
Never leak answers before the learner attempts. Durable quiz artifacts are files; conversation is for source-choice confirmation, grading, and next-step guidance.
File and source standards
The question bank is course-level:
<study-dir>/question-bank/question-bank.json
Never create per-chapter banks. Legacy <study-dir>/question-bank.json is accepted only for old workspaces.
Generated files:
- quiz JSON:
<study-dir>/internal/quizzes/<date>-<topic>.json - learner HTML:
<study-dir>/open/quizzes/<date>-<topic>.html, produced withbuild_quiz.py --publish <study-dir> - exam profile:
<study-dir>/internal/state/exam-style.md - mistake book:
<study-dir>/internal/state/mistakes.md - reports:
<study-dir>/internal/reports/
Quiz HTML supports LaTeX $...$ / $$...$$ through MathJax. Use LaTeX for real formulas; Unicode math is fine for short inline expressions.
Source priority
- User-uploaded real papers/questions are the gold standard.
- If the user has not uploaded questions, ask whether they want to upload questions or let AI search the web.
- If the user chooses web search, confirm school, subject/name/code, and year range first. Source priority: official syllabus/sample papers > prep-institution compilations > forum recollections.
- Web-sourced material must carry URLs and confidence labels. If real papers arrive later, re-analyze and override web-sourced assumptions.
Bank-first workflow
Before writing questions, inspect the bank:
python3 ~/.claude/skills/study-quiz/scripts/bank.py <study-dir> list --point 3.1.2 3.1.3
python3 ~/.claude/skills/study-quiz/scripts/bank.py <study-dir> stats --point 3.1.2 3.1.3
python3 ~/.claude/skills/study-quiz/scripts/bank.py <study-dir> get Q0003 Q0007
Prefer unused or least-used entries. For repeat practice, adapt numbers/scenarios instead of reusing verbatim. Write brand-new questions only for uncovered points or when uploaded/web sources add better exam-style material.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 124 lines · 132 tokens per session scan A 599c253e8f27
study-quiz is a skill published in the GitHub repository 2362094903-ops/study-assistant-skills (27 stars, last pushed 2mo ago), licensed MIT. It adds 132 tokens to every session and 1,348 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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