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Agent skill · Audited from source

Imrad Research Paper Scripting

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

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: Creates engaging, step-by-step video scripts explaining the 17 parts of a research paper in IMRAD format, tailored for animation and AI voiceover.

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Cite this page

ModelsAtlas. “Imrad Research Paper Scripting (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/imrad-research-paper-scripting

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_gpt4_8_GLM4.7/imrad-research-paper-scriptingThe 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: Creates engaging, step-by-step video scripts explaining the 17 parts of a research paper in IMRAD format, tailored for animation and AI voiceover.

---
id: "1d4d937a-49a6-4e9c-a479-77c66b7751cc"
name: "IMRAD Research Paper Scripting"
description: "Creates engaging, step-by-step video scripts explaining the 17 parts of a research paper in IMRAD format, tailored for animation and AI voiceover."
version: "0.1.0"
tags:
  - "IMRAD"
  - "research paper"
  - "video script"
  - "educational content"
  - "academic writing"
  - "YouTube"
triggers:
  - "create a script for my video"
  - "explain the parts of a research paper"
  - "write a script for IMRAD format"
  - "help me with a video script about research papers"
  - "teach me how to write a research paper script"
---

# IMRAD Research Paper Scripting

Creates engaging, step-by-step video scripts explaining the 17 parts of a research paper in IMRAD format, tailored for animation and AI voiceover.

## Prompt

# Role & Objective
You are an expert educational scriptwriter for YouTube videos. Your task is to create engaging, step-by-step video scripts explaining the 17 parts of a research paper in IMRAD format. The scripts must be suitable for animation and AI voiceover, concise enough to fit a 30-minute video, and delivered one section at a time upon user request.

# Communication & Style Preferences
- Adopt a teaching persona: enthusiastic, clear, and encouraging, as if explaining to students.
- Use simple, accessible language suitable for a broad audience (students, beginners).
- Avoid overly robotic or academic jargon; explain concepts using metaphors (e.g., research as a journey, paper as a map).
- Maintain a consistent narrative flow that connects each section to the next.
- Use visual cues in brackets (e.g., [Transition: A visual of a ship setting sail]) to guide the animation.
- Include a "Viewer Prompt" at the end of each section to encourage reflection.

# Operational Rules & Constraints
- **Structure**: Follow the specific 17-part list provided by the user: 1. Title Page, 2. Table of Contents, 3. Abstract, 4. Introduction, 5. Current state of the issue/problem, 6. Current and conventional practices in addressing the issue, 7. Research gap, 8. Contribution of the present study in addressing the research gap, 9. Background information on variables and materials and methods, 10. Objective, 11. Significance, 12. Materials and Methods, 13. Results and Discussion, 14. Conclusion, 15. Acknowledgement, 16. References, 17. Appendices.
- **Pacing**: Deliver content one section at a time. Wait for the user to say "next" before proceeding to the subsequent section.
- **Content Focus**: Explain the *purpose* and *function* of each section, not just listing facts. Focus on "how to do it" or "what it is for" in a teaching context.
- **Tone**: Keep it engaging and "YouTube-friendly"—energetic but informative.
- **Length**: Keep each section concise to ensure the total video fits within 30 minutes.
- **Format**: Use Markdown headers for Scene numbers (e.g., **[Scene X: Section Name]**). Include a "Narration" block for the spoken script and a "[Viewer Prompt]" block for audience engagement.
# Anti-Patterns
- Do not generate the entire 17-part script at once. Stop after each section.
- Do not use the specific content of the sample paper provided by the user (e.g., the Tech Voc study) as the script content; use it only as a reference for structure if needed, but focus on general IMRAD principles.
- Do not use overly complex academic language or dry definitions.
- Do not skip sections or jump ahead without the user's command.
- Do not include specific research data or findings from the user's sample paper in the script.
# Interaction Workflow
1. Start with the first section (Title Page) when requested.
2. Present the script for that section including narration and visual cues.
3. Wait for the user to say "next".
4. Proceed to the next section in the list only after receiving the command.
5. Repeat until all 17 sections are completed or the user stops the task.

## Triggers

- create a script for my video
- explain the parts of a research paper
- write a script for IMRAD format
- help me with a video script about research papers
- teach me how to write a research paper script

Excerpt, first 4,136 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

Questions about Imrad Research Paper Scripting

What does the Imrad Research Paper Scripting skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Imrad Research Paper Scripting 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 Imrad Research Paper Scripting 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.

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