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 refaelach/gmba-class-19-skills --skill exam-prepgit clone --depth 1 https://github.com/refaelach/gmba-class-19-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/refaelach/gmba-class-19-skills/exam-prep)<a href="https://agentmods.dev/skills/refaelach/gmba-class-19-skills/exam-prep"><img src="https://agentmods.dev/badge/skills/refaelach/gmba-class-19-skills/exam-prep/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/refaelach/gmba-class-19-skills/exam-prep"><img src="https://agentmods.dev/badge/skills/refaelach/gmba-class-19-skills/exam-prep.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 | $0.00287 | $0.02722 |
| Opus 5 | $0.00143 | $0.01361 |
| Sonnet 5 | $0.00057 | $0.00544 |
| Haiku 4.5 | $0.00029 | $0.00272 |
Grade A, and why
exam-prep 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 12d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exam Prep
The single best signal for what your professor will test, and how, is what they've tested before. Past exams reveal question types, phrasing style, point distribution, time pressure, and the topics that keep coming back. This skill takes one or more past exams from the student, learns the pattern, and produces a fresh mock exam that feels like the real one — with answers withheld until the student actually submits, so it works as practice instead of read-along review.
When to use this skill
- The student has at least one past or sample exam (PDF, image, scan, doc, or pasted text) and wants to practice for an upcoming exam in the same course.
- The student says things like "make me a mock exam from these," "I have last year's final, quiz me," or "what kind of questions should I expect."
- The student has several past exams from the same course and wants to figure out what topics keep repeating (= high-yield) and what the format is likely to be.
- The student wants timed-exam-style practice rather than passive review.
When NOT to use this skill
- The student wants flashcards or a single-topic deep-dive — that's concept review, not exam prep.
- The student wants help solving a specific homework problem — answer it directly.
- The student has zero exam material. Ask for at least one past exam, a problem set, or a syllabus chapter list. Without an artifact, this skill is guessing.
- The student wants the answer key up front. This skill withholds answers until they attempt the exam — that's the point. If they want a worked example, walk them through one without the mock-exam ceremony.
How it works
Step 1: Get the past exam(s)
If the student hasn't already provided exam material, ask for it. Be specific:
"Drop in any past exams you have — PDF, photos, a Word doc, or even pasted text is fine. One is enough; if you have several from different years, share them all. I'll learn the format from whatever you give me."
If the student has only fragments (e.g., one section, or screenshots of a few questions), say so and proceed — but flag that the mock will be more reliable with a complete exam.
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.
- 12d ago First seen · 139 lines · 287 tokens per session scan A 8ec40e13b407
exam-prep is a skill published in the GitHub repository refaelach/gmba-class-19-skills (1 stars, last pushed 4mo ago), licensed MIT. It adds 287 tokens to every session and 2,722 once invoked, about $0.0014 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 2026-08-31.
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