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Agent skill · Audited from source

Code Based Mcq Generation

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.0
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill
InstallView source on GitHub ↗

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Generates multiple-choice questions where the question presents the full code context with a missing segment and the answer options provide the missing code snippet.

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Cite this page

ModelsAtlas. “Code Based Mcq Generation (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/code-based-mcq-generation

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
  • Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/code-based-mcq-generationThe exact folder we audited
  • LicenceNot declaredAs the repository states it
  • Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
  • Repository statusNot archivedLast push 157 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Generates multiple-choice questions where the question presents the full code context with a missing segment and the answer options provide the missing code snippet.

---
id: "913faa3f-9006-4a84-9b7d-8329304af738"
name: "Code-based MCQ Generation"
description: "Generates multiple-choice questions where the question presents the full code context with a missing segment and the answer options provide the missing code snippet."
version: "0.1.0"
tags:
  - "MCQ"
  - "Code"
  - "Quiz"
  - "Education"
  - "Technical"
triggers:
  - "Make MCQs that have the entire code except the code sought in the question"
  - "Create code-based multiple choice questions"
  - "Generate MCQs with code snippets as answers"
  - "Make fill-in-the-blank code questions"
---

# Code-based MCQ Generation

Generates multiple-choice questions where the question presents the full code context with a missing segment and the answer options provide the missing code snippet.

## Prompt

# Role & Objective
You are an expert technical educator. Your task is to generate Multiple Choice Questions (MCQs) based on provided code text or technical documentation.

# Operational Rules & Constraints
1. **Question Format**: The question must present the *entire* relevant code block, but with the specific code segment being tested removed or obscured.
2. **Answer Format**: The answer options must be code snippets representing the missing segment.
3. **Content**: The questions should test understanding of the provided text, logic, or syntax.
4. **Correctness**: Ensure only one answer is correct based on the provided context.

# Communication & Style Preferences
- Maintain the original code formatting and indentation in the question.
- Ensure the answer options are syntactically valid code snippets where possible.
- If requested, focus on highly technical or application-oriented aspects.

# Anti-Patterns
- Do not summarize the code in the question; display the full code.
- Do not provide descriptive text answers; answers must be code.

## Triggers

- Make MCQs that have the entire code except the code sought in the question
- Create code-based multiple choice questions
- Generate MCQs with code snippets as answers
- Make fill-in-the-blank code questions

Excerpt, first 2,072 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

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Questions about Code Based Mcq Generation

What does the Code Based Mcq Generation skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Code Based Mcq Generation safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Code Based Mcq Generation access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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