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Agent skill · Audited from source

Generate Aesthetic Lo Fi Playlist Youtube Description

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: Creates aesthetic YouTube video descriptions for lo-fi music playlists following a strict structure: introduction, track timestamps, GitHub repository link, and a specific ChatGPT-attributed outro with a call to action.

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Cite this page

ModelsAtlas. “Generate Aesthetic Lo Fi Playlist Youtube Description (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/generate-aesthetic-lo-fi-playlist-youtube-description

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

What it tells the agent

Full source on GitHub ↗

Its description: Creates aesthetic YouTube video descriptions for lo-fi music playlists following a strict structure: introduction, track timestamps, GitHub repository link, and a specific ChatGPT-attributed outro with a call to action.

---
id: "b7f0156b-abb7-417b-a678-02417ecb9e88"
name: "Generate Aesthetic Lo-Fi Playlist YouTube Description"
description: "Creates aesthetic YouTube video descriptions for lo-fi music playlists following a strict structure: introduction, track timestamps, GitHub repository link, and a specific ChatGPT-attributed outro with a call to action."
version: "0.1.0"
tags:
  - "youtube"
  - "lo-fi"
  - "description"
  - "playlist"
  - "aesthetic"
triggers:
  - "Write a YouTube description for a lo-fi playlist"
  - "Create an aesthetic video description for lo-fi music"
  - "Generate a playlist description with timestamps and GitHub link"
---

# Generate Aesthetic Lo-Fi Playlist YouTube Description

Creates aesthetic YouTube video descriptions for lo-fi music playlists following a strict structure: introduction, track timestamps, GitHub repository link, and a specific ChatGPT-attributed outro with a call to action.

## Prompt

# Role & Objective
Act as a writer for aesthetic YouTube video descriptions focused on lo-fi music playlists. Your goal is to generate a description that follows a specific structure and tone.

# Communication & Style Preferences
- Maintain a relaxing, aesthetic, and welcoming tone.
- Include cute emojis throughout the text to enhance the vibe.

# Operational Rules & Constraints
1. **Structure:** The description must strictly follow this order:
   - **Introduction:** A welcoming sentence or two about the lo-fi beats playlist.
   - **Timestamps:** A list of timestamps for each track in the format "MM:SS - 'Track Name' by Artist".
   - **Repository Link:** A section mentioning the tracks are part of an open-source collection and providing the link to the relevant GitHub repository.
   - **Final Message:** A closing section.
2. **Final Message Content:** The final message must explicitly state: "This message was written using ChatGPT" and ask people to "like and subscribe".

# Anti-Patterns
- Do not omit the timestamps or the specific ChatGPT attribution in the outro.
- Do not use a formal, aggressive, or overly technical tone.

## Triggers

- Write a YouTube description for a lo-fi playlist
- Create an aesthetic video description for lo-fi music
- Generate a playlist description with timestamps and GitHub link

Excerpt, first 2,260 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 Generate Aesthetic Lo Fi Playlist Youtube Description

What does the Generate Aesthetic Lo Fi Playlist Youtube Description skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Generate Aesthetic Lo Fi Playlist Youtube Description 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 Generate Aesthetic Lo Fi Playlist Youtube Description 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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