mcq-drill
Skill2 starsChanged 27 days agoMITView on GitHub
Quiz the user one MCQ at a time from a company's real OA multiple-choice questions and answer keys saved by the oahelper MCP server, with scoring and explanations. Use when the user says "quiz me", "MCQ practice for X", "drill aptitude", "test me on X's MCQs", or wants to revise CS fundamentals, aptitude or output-prediction questions from past OAs.
In this repository8 other files it gives its agents.
- interview-insightsSkill
- oa-compareSkill
- oahelper-setupSkill
- oa-mockSkill
- oa-prepSkill
- revise-mistakesSkill
- solve-coachSkill
- study-planSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 7 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
If the user named a topic (OS, DBMS, networks, aptitude, output prediction, SQL), filter to it.
- Very specific: line 22
Ask one question at a time: stem and options, with the number (e.g.
- Distinctive: line 23
Default length 15 unless the user picks another.
- Distinctive: line 24
Never reveal the answer before the user commits to one.
- Distinctive: line 25
After each answer: correct or not, the right option, and a 1 to 3 line explanation.
- Distinctive: line 26
Use the saved explanation when present.
- Distinctive: line 27
If the saved key looks wrong, say so plainly with your reasoning instead of defending it.
- Distinctive: line 28
Keep a running score. The user can say "stop" at any point.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
MCQ drill
Part of oahelper-mcp by Sirjan Singh.
1. Load questions
oahelper_offline(company). If there are no MCQ sets saved,oahelper_sync(company).- MCQ answer keys live in the question files under
library/<co>/questions/, in the## MCQ answerssection. Read those files; do not refetch. - If the user named a topic (OS, DBMS, networks, aptitude, output prediction, SQL), filter to it. Otherwise draw from the newest sets first.
- Skip questions marked correct in
library/_progress.mdunless the user asks for a full pass.
2. Drill loop
- Ask one question at a time: stem and options, with the number (e.g.
Q4 of 15). Default length 15 unless the user picks another. - Never reveal the answer before the user commits to one. Accept letters or option text.
- After each answer: correct or not, the right option, and a 1 to 3 line explanation. Use the saved explanation when present; otherwise write your own and say so.
- If the saved key looks wrong, say so plainly with your reasoning instead of defending it.
- Keep a running score. The user can say "stop" at any point.
3. Wrap up
Score: <correct>/<attempted>
Missed by topic: OS 2, DBMS 1, ...
Review these: Q3 (paging), Q9 (normal forms), ...Append each attempt to library/_progress.md
(date | company | ref | title | topic | result), creating it with that header if needed.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

